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hawkh/README.md


> whoami

classSaiRuthvik:
name="Sai Ruthvik"alias="hawkh"location="IIT Madras, Chennai → Hyderabad, India 🇮🇳"email="ruthvikworking@gmail.com"education="B.S. @ IIT Madras (Final Year)"roles= [
"AI/ML Engineer @ Cyepro Solutions",
"Founding ML Engineer @ Visionary EdTech",
"Tech Lead @ Infin AI Club, IIT Madras",
]
domains= ["Computer Vision", "NLP & Indic AI", "RAG Systems",
"Edge AI", "Audio ML", "ML Systems & MLOps"]
currently_building= {
"🌐 Visionary" : "Multilingual RAG pipeline — 12+ Indic languages, zero LangChain",
"🚗 Cyepro" : "CRM-native lead scoring for automobile industry",
"📐 Side Project" : "Multi-agent math tutoring AI for JEE-level students",
}
philosophy="Build AI that works for the next billion — not just in English."open_to= ["Founding ML roles", "AI research collabs", "Competitive ML"]

> currently_building

🌐 Multilingual Indic RAG

@ Visionary EdTech

A production RAG pipeline serving 12+ Indic languages with zero framework overhead.

  • No LangChain · LlamaIndex · LangGraph
  • docling → chunking → hnswlib + rank_bm25
  • RRF fusion for hybrid retrieval
  • Ollama local inference on Colab T4
  • GridSearchCV over chunk size & embeddings

🚗 Automobile Lead Scoring

@ Cyepro Solutions

CRM-native ML pipeline to score and prioritize leads for auto dealerships.

  • Feature engineering from CRM event logs
  • XGBoost / LightGBM scoring engine
  • SHAP explainability for sales teams
  • Stage-wise funnel probability outputs
  • Graph DB schema (Neo4j) for lead graph

📐 Math Mentor AI

Personal Project

JEE-level multi-agent tutoring system with multimodal input and HITL feedback.

  • 6 agents: Memory · Parser · Router · Solver · Verifier · Explainer
  • Claude Vision OCR for handwritten problems
  • Whisper ASR for voice input
  • FAISS RAG + human-in-the-loop triggers
  • Streamlit UI · automated test suite

> experience_timeline

▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓
🚀2025 – PresentFounding ML Engineer
Visionary EdTech
Building the multilingual AI core — pure Python RAG for 12+ Indic languages, embedding optimization, hybrid retrieval at scale
🏢2024 – PresentAI/ML Engineer
Cyepro Solutions, Hyderabad
CRM-native lead scoring, automobile funnel analytics, codeblast analyzer with graph database design
🧑‍💻2024 – PresentTech Lead
Infin AI Club, IIT Madras
Leading AI workshops, mentoring peers on ML projects, organizing hackathons and competitive ML events
🌾2023 – 2024AI/ML Engineer
Livestockify (AgriTech)
Vision-based poultry weight estimation, Wav2Vec2 audio classification (healthy vs sick chickens), IoT sensor fusion, investor-grade PDF reporting
🎯2023Organizer
Jarvis Club, IIT Madras
HackerRank placement prep contests · 100+ participants · end-to-end contest management
▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓

> tech_stack

Core Languages

AI / ML


Tools & Infrastructure


> featured_projects

🔬 Smart Poultry Farm Monitoring System

AgriTech · Computer Vision · Audio ML · IoT

End-to-end AI system for poultry health management combining vision, sound, and sensor data.

  • Wav2Vec2 fine-tuned for healthy vs. sick chicken audio classification
  • Vision pipeline for flock weight estimation (no physical contact)
  • IoT sensor fusion: temperature · ammonia · humidity
  • ReportLab investor-grade PDF health reports
  • Veterinary diagnostic report generation

🛰️ Satellite-Driven Aquaculture ML

Remote Sensing · Multi-task Learning

Water quality prediction for AP carp ponds using satellite imagery.

  • Sentinel-2 + Landsat-9 for DO, NH₃, pH, Chl-a prediction
  • LightGBM / XGBoost ensemble baseline
  • Late-fusion multi-task neural network
  • Backed by IIMA Ventures · IIT Kanpur TBI

📊 RAG Parameter Optimization Pipeline

Information Retrieval · NLP · Evaluation

GridSearchCV-driven systematic optimization of a RAG pipeline over CBSE Std 8 Science content.

  • Sweep over chunk size, overlap, embedding model, top-k
  • Metrics: MRR · NDCG · Hit@K
  • Multi-model embedding benchmarking
  • Reproducible Jupyter notebooks + embedding landscape guide

🚦 Smart Traffic Management — SIH

Computer Vision · Edge AI · Smart India Hackathon

AI-based adaptive traffic signal system for Indian urban intersections.

  • Real-time vehicle detection and density estimation
  • Dynamic signal timing based on live traffic load
  • Optimized for edge deployment constraints

> github_stats




> competitive_profiles


DSA · Problem Solving

ML Competitions

Competitive Coding

Algorithms

> what_I_believe

┌─────────────────────────────────────────────────────────────────────┐
│ │
│ "Most AI is built for Silicon Valley. │
│ I want to build AI for the farmer in Andhra Pradesh, │
│ the student in rural Bihar, the shopkeeper in Tamil Nadu. │
│ │
│ That means multilingual. That means edge-first. │
│ That means it actually has to work." │
│ │
│ — Sai Ruthvik │
└─────────────────────────────────────────────────────────────────────┘

> let's_connect





📍 IIT Madras, Chennai / Hyderabad, India
🎓 B.S. Final Year — IIT Madras
⏰ IST (GMT+5:30) · Usually responds within 24h

contribution snake

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all \u003cpre\u003e\u003ccode\u003e blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks"); } } catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); } })(); (function(){ try { var __m = "github.com"; var __re = new RegExp('^' + "github\\.com" + '
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hawkh/README.md


> whoami

classSaiRuthvik:
name="Sai Ruthvik"alias="hawkh"location="IIT Madras, Chennai → Hyderabad, India 🇮🇳"email="ruthvikworking@gmail.com"education="B.S. @ IIT Madras (Final Year)"roles= [
"AI/ML Engineer @ Cyepro Solutions",
"Founding ML Engineer @ Visionary EdTech",
"Tech Lead @ Infin AI Club, IIT Madras",
]
domains= ["Computer Vision", "NLP & Indic AI", "RAG Systems",
"Edge AI", "Audio ML", "ML Systems & MLOps"]
currently_building= {
"🌐 Visionary" : "Multilingual RAG pipeline — 12+ Indic languages, zero LangChain",
"🚗 Cyepro" : "CRM-native lead scoring for automobile industry",
"📐 Side Project" : "Multi-agent math tutoring AI for JEE-level students",
}
philosophy="Build AI that works for the next billion — not just in English."open_to= ["Founding ML roles", "AI research collabs", "Competitive ML"]

> currently_building

🌐 Multilingual Indic RAG

@ Visionary EdTech

A production RAG pipeline serving 12+ Indic languages with zero framework overhead.

  • No LangChain · LlamaIndex · LangGraph
  • docling → chunking → hnswlib + rank_bm25
  • RRF fusion for hybrid retrieval
  • Ollama local inference on Colab T4
  • GridSearchCV over chunk size & embeddings

🚗 Automobile Lead Scoring

@ Cyepro Solutions

CRM-native ML pipeline to score and prioritize leads for auto dealerships.

  • Feature engineering from CRM event logs
  • XGBoost / LightGBM scoring engine
  • SHAP explainability for sales teams
  • Stage-wise funnel probability outputs
  • Graph DB schema (Neo4j) for lead graph

📐 Math Mentor AI

Personal Project

JEE-level multi-agent tutoring system with multimodal input and HITL feedback.

  • 6 agents: Memory · Parser · Router · Solver · Verifier · Explainer
  • Claude Vision OCR for handwritten problems
  • Whisper ASR for voice input
  • FAISS RAG + human-in-the-loop triggers
  • Streamlit UI · automated test suite

> experience_timeline

▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓
🚀2025 – PresentFounding ML Engineer
Visionary EdTech
Building the multilingual AI core — pure Python RAG for 12+ Indic languages, embedding optimization, hybrid retrieval at scale
🏢2024 – PresentAI/ML Engineer
Cyepro Solutions, Hyderabad
CRM-native lead scoring, automobile funnel analytics, codeblast analyzer with graph database design
🧑‍💻2024 – PresentTech Lead
Infin AI Club, IIT Madras
Leading AI workshops, mentoring peers on ML projects, organizing hackathons and competitive ML events
🌾2023 – 2024AI/ML Engineer
Livestockify (AgriTech)
Vision-based poultry weight estimation, Wav2Vec2 audio classification (healthy vs sick chickens), IoT sensor fusion, investor-grade PDF reporting
🎯2023Organizer
Jarvis Club, IIT Madras
HackerRank placement prep contests · 100+ participants · end-to-end contest management
▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓

> tech_stack

Core Languages

AI / ML


Tools & Infrastructure


> featured_projects

🔬 Smart Poultry Farm Monitoring System

AgriTech · Computer Vision · Audio ML · IoT

End-to-end AI system for poultry health management combining vision, sound, and sensor data.

  • Wav2Vec2 fine-tuned for healthy vs. sick chicken audio classification
  • Vision pipeline for flock weight estimation (no physical contact)
  • IoT sensor fusion: temperature · ammonia · humidity
  • ReportLab investor-grade PDF health reports
  • Veterinary diagnostic report generation

🛰️ Satellite-Driven Aquaculture ML

Remote Sensing · Multi-task Learning

Water quality prediction for AP carp ponds using satellite imagery.

  • Sentinel-2 + Landsat-9 for DO, NH₃, pH, Chl-a prediction
  • LightGBM / XGBoost ensemble baseline
  • Late-fusion multi-task neural network
  • Backed by IIMA Ventures · IIT Kanpur TBI

📊 RAG Parameter Optimization Pipeline

Information Retrieval · NLP · Evaluation

GridSearchCV-driven systematic optimization of a RAG pipeline over CBSE Std 8 Science content.

  • Sweep over chunk size, overlap, embedding model, top-k
  • Metrics: MRR · NDCG · Hit@K
  • Multi-model embedding benchmarking
  • Reproducible Jupyter notebooks + embedding landscape guide

🚦 Smart Traffic Management — SIH

Computer Vision · Edge AI · Smart India Hackathon

AI-based adaptive traffic signal system for Indian urban intersections.

  • Real-time vehicle detection and density estimation
  • Dynamic signal timing based on live traffic load
  • Optimized for edge deployment constraints

> github_stats




> competitive_profiles


DSA · Problem Solving

ML Competitions

Competitive Coding

Algorithms

> what_I_believe

┌─────────────────────────────────────────────────────────────────────┐
│ │
│ "Most AI is built for Silicon Valley. │
│ I want to build AI for the farmer in Andhra Pradesh, │
│ the student in rural Bihar, the shopkeeper in Tamil Nadu. │
│ │
│ That means multilingual. That means edge-first. │
│ That means it actually has to work." │
│ │
│ — Sai Ruthvik │
└─────────────────────────────────────────────────────────────────────┘

> let's_connect





📍 IIT Madras, Chennai / Hyderabad, India
🎓 B.S. Final Year — IIT Madras
⏰ IST (GMT+5:30) · Usually responds within 24h

contribution snake

Built from scratch · Not a template · Powered by curiosity ☕

Popular repositories Loading

  1. hawkh hawkhPublic template

    TeX 3

  2. chatwithpdf chatwithpdfPublic

    Python 2

  3. Leetcode-Solutions Leetcode-SolutionsPublic

    Collection of LeetCode questions I have solved

    Python 1

  4. ML-Challenge ML-ChallengePublic

    Jupyter Notebook 1

  5. ytvid ytvidPublic

    Python 1

  6. searchengine searchenginePublic

    Python 1

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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hawkh/README.md


> whoami

classSaiRuthvik:
name="Sai Ruthvik"alias="hawkh"location="IIT Madras, Chennai → Hyderabad, India 🇮🇳"email="ruthvikworking@gmail.com"education="B.S. @ IIT Madras (Final Year)"roles= [
"AI/ML Engineer @ Cyepro Solutions",
"Founding ML Engineer @ Visionary EdTech",
"Tech Lead @ Infin AI Club, IIT Madras",
]
domains= ["Computer Vision", "NLP & Indic AI", "RAG Systems",
"Edge AI", "Audio ML", "ML Systems & MLOps"]
currently_building= {
"🌐 Visionary" : "Multilingual RAG pipeline — 12+ Indic languages, zero LangChain",
"🚗 Cyepro" : "CRM-native lead scoring for automobile industry",
"📐 Side Project" : "Multi-agent math tutoring AI for JEE-level students",
}
philosophy="Build AI that works for the next billion — not just in English."open_to= ["Founding ML roles", "AI research collabs", "Competitive ML"]

> currently_building

🌐 Multilingual Indic RAG

@ Visionary EdTech

A production RAG pipeline serving 12+ Indic languages with zero framework overhead.

  • No LangChain · LlamaIndex · LangGraph
  • docling → chunking → hnswlib + rank_bm25
  • RRF fusion for hybrid retrieval
  • Ollama local inference on Colab T4
  • GridSearchCV over chunk size & embeddings

🚗 Automobile Lead Scoring

@ Cyepro Solutions

CRM-native ML pipeline to score and prioritize leads for auto dealerships.

  • Feature engineering from CRM event logs
  • XGBoost / LightGBM scoring engine
  • SHAP explainability for sales teams
  • Stage-wise funnel probability outputs
  • Graph DB schema (Neo4j) for lead graph

📐 Math Mentor AI

Personal Project

JEE-level multi-agent tutoring system with multimodal input and HITL feedback.

  • 6 agents: Memory · Parser · Router · Solver · Verifier · Explainer
  • Claude Vision OCR for handwritten problems
  • Whisper ASR for voice input
  • FAISS RAG + human-in-the-loop triggers
  • Streamlit UI · automated test suite

> experience_timeline

▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓
🚀2025 – PresentFounding ML Engineer
Visionary EdTech
Building the multilingual AI core — pure Python RAG for 12+ Indic languages, embedding optimization, hybrid retrieval at scale
🏢2024 – PresentAI/ML Engineer
Cyepro Solutions, Hyderabad
CRM-native lead scoring, automobile funnel analytics, codeblast analyzer with graph database design
🧑‍💻2024 – PresentTech Lead
Infin AI Club, IIT Madras
Leading AI workshops, mentoring peers on ML projects, organizing hackathons and competitive ML events
🌾2023 – 2024AI/ML Engineer
Livestockify (AgriTech)
Vision-based poultry weight estimation, Wav2Vec2 audio classification (healthy vs sick chickens), IoT sensor fusion, investor-grade PDF reporting
🎯2023Organizer
Jarvis Club, IIT Madras
HackerRank placement prep contests · 100+ participants · end-to-end contest management
▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓

> tech_stack

Core Languages

AI / ML


Tools & Infrastructure


> featured_projects

🔬 Smart Poultry Farm Monitoring System

AgriTech · Computer Vision · Audio ML · IoT

End-to-end AI system for poultry health management combining vision, sound, and sensor data.

  • Wav2Vec2 fine-tuned for healthy vs. sick chicken audio classification
  • Vision pipeline for flock weight estimation (no physical contact)
  • IoT sensor fusion: temperature · ammonia · humidity
  • ReportLab investor-grade PDF health reports
  • Veterinary diagnostic report generation

🛰️ Satellite-Driven Aquaculture ML

Remote Sensing · Multi-task Learning

Water quality prediction for AP carp ponds using satellite imagery.

  • Sentinel-2 + Landsat-9 for DO, NH₃, pH, Chl-a prediction
  • LightGBM / XGBoost ensemble baseline
  • Late-fusion multi-task neural network
  • Backed by IIMA Ventures · IIT Kanpur TBI

📊 RAG Parameter Optimization Pipeline

Information Retrieval · NLP · Evaluation

GridSearchCV-driven systematic optimization of a RAG pipeline over CBSE Std 8 Science content.

  • Sweep over chunk size, overlap, embedding model, top-k
  • Metrics: MRR · NDCG · Hit@K
  • Multi-model embedding benchmarking
  • Reproducible Jupyter notebooks + embedding landscape guide

🚦 Smart Traffic Management — SIH

Computer Vision · Edge AI · Smart India Hackathon

AI-based adaptive traffic signal system for Indian urban intersections.

  • Real-time vehicle detection and density estimation
  • Dynamic signal timing based on live traffic load
  • Optimized for edge deployment constraints

> github_stats




> competitive_profiles


DSA · Problem Solving

ML Competitions

Competitive Coding

Algorithms

> what_I_believe

┌─────────────────────────────────────────────────────────────────────┐
│ │
│ "Most AI is built for Silicon Valley. │
│ I want to build AI for the farmer in Andhra Pradesh, │
│ the student in rural Bihar, the shopkeeper in Tamil Nadu. │
│ │
│ That means multilingual. That means edge-first. │
│ That means it actually has to work." │
│ │
│ — Sai Ruthvik │
└─────────────────────────────────────────────────────────────────────┘

> let's_connect





📍 IIT Madras, Chennai / Hyderabad, India
🎓 B.S. Final Year — IIT Madras
⏰ IST (GMT+5:30) · Usually responds within 24h

contribution snake

Built from scratch · Not a template · Powered by curiosity ☕

Popular repositories Loading

  1. hawkh hawkhPublic template

    TeX 3

  2. chatwithpdf chatwithpdfPublic

    Python 2

  3. Leetcode-Solutions Leetcode-SolutionsPublic

    Collection of LeetCode questions I have solved

    Python 1

  4. ML-Challenge ML-ChallengePublic

    Jupyter Notebook 1

  5. ytvid ytvidPublic

    Python 1

  6. searchengine searchenginePublic

    Python 1

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length \u003e 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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hawkh/README.md


> whoami

classSaiRuthvik:
name="Sai Ruthvik"alias="hawkh"location="IIT Madras, Chennai → Hyderabad, India 🇮🇳"email="ruthvikworking@gmail.com"education="B.S. @ IIT Madras (Final Year)"roles= [
"AI/ML Engineer @ Cyepro Solutions",
"Founding ML Engineer @ Visionary EdTech",
"Tech Lead @ Infin AI Club, IIT Madras",
]
domains= ["Computer Vision", "NLP & Indic AI", "RAG Systems",
"Edge AI", "Audio ML", "ML Systems & MLOps"]
currently_building= {
"🌐 Visionary" : "Multilingual RAG pipeline — 12+ Indic languages, zero LangChain",
"🚗 Cyepro" : "CRM-native lead scoring for automobile industry",
"📐 Side Project" : "Multi-agent math tutoring AI for JEE-level students",
}
philosophy="Build AI that works for the next billion — not just in English."open_to= ["Founding ML roles", "AI research collabs", "Competitive ML"]

> currently_building

🌐 Multilingual Indic RAG

@ Visionary EdTech

A production RAG pipeline serving 12+ Indic languages with zero framework overhead.

  • No LangChain · LlamaIndex · LangGraph
  • docling → chunking → hnswlib + rank_bm25
  • RRF fusion for hybrid retrieval
  • Ollama local inference on Colab T4
  • GridSearchCV over chunk size & embeddings

🚗 Automobile Lead Scoring

@ Cyepro Solutions

CRM-native ML pipeline to score and prioritize leads for auto dealerships.

  • Feature engineering from CRM event logs
  • XGBoost / LightGBM scoring engine
  • SHAP explainability for sales teams
  • Stage-wise funnel probability outputs
  • Graph DB schema (Neo4j) for lead graph

📐 Math Mentor AI

Personal Project

JEE-level multi-agent tutoring system with multimodal input and HITL feedback.

  • 6 agents: Memory · Parser · Router · Solver · Verifier · Explainer
  • Claude Vision OCR for handwritten problems
  • Whisper ASR for voice input
  • FAISS RAG + human-in-the-loop triggers
  • Streamlit UI · automated test suite

> experience_timeline

▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓
🚀2025 – PresentFounding ML Engineer
Visionary EdTech
Building the multilingual AI core — pure Python RAG for 12+ Indic languages, embedding optimization, hybrid retrieval at scale
🏢2024 – PresentAI/ML Engineer
Cyepro Solutions, Hyderabad
CRM-native lead scoring, automobile funnel analytics, codeblast analyzer with graph database design
🧑‍💻2024 – PresentTech Lead
Infin AI Club, IIT Madras
Leading AI workshops, mentoring peers on ML projects, organizing hackathons and competitive ML events
🌾2023 – 2024AI/ML Engineer
Livestockify (AgriTech)
Vision-based poultry weight estimation, Wav2Vec2 audio classification (healthy vs sick chickens), IoT sensor fusion, investor-grade PDF reporting
🎯2023Organizer
Jarvis Club, IIT Madras
HackerRank placement prep contests · 100+ participants · end-to-end contest management
▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓

> tech_stack

Core Languages

AI / ML


Tools & Infrastructure


> featured_projects

🔬 Smart Poultry Farm Monitoring System

AgriTech · Computer Vision · Audio ML · IoT

End-to-end AI system for poultry health management combining vision, sound, and sensor data.

  • Wav2Vec2 fine-tuned for healthy vs. sick chicken audio classification
  • Vision pipeline for flock weight estimation (no physical contact)
  • IoT sensor fusion: temperature · ammonia · humidity
  • ReportLab investor-grade PDF health reports
  • Veterinary diagnostic report generation

🛰️ Satellite-Driven Aquaculture ML

Remote Sensing · Multi-task Learning

Water quality prediction for AP carp ponds using satellite imagery.

  • Sentinel-2 + Landsat-9 for DO, NH₃, pH, Chl-a prediction
  • LightGBM / XGBoost ensemble baseline
  • Late-fusion multi-task neural network
  • Backed by IIMA Ventures · IIT Kanpur TBI

📊 RAG Parameter Optimization Pipeline

Information Retrieval · NLP · Evaluation

GridSearchCV-driven systematic optimization of a RAG pipeline over CBSE Std 8 Science content.

  • Sweep over chunk size, overlap, embedding model, top-k
  • Metrics: MRR · NDCG · Hit@K
  • Multi-model embedding benchmarking
  • Reproducible Jupyter notebooks + embedding landscape guide

🚦 Smart Traffic Management — SIH

Computer Vision · Edge AI · Smart India Hackathon

AI-based adaptive traffic signal system for Indian urban intersections.

  • Real-time vehicle detection and density estimation
  • Dynamic signal timing based on live traffic load
  • Optimized for edge deployment constraints

> github_stats




> competitive_profiles


DSA · Problem Solving

ML Competitions

Competitive Coding

Algorithms

> what_I_believe

┌─────────────────────────────────────────────────────────────────────┐
│ │
│ "Most AI is built for Silicon Valley. │
│ I want to build AI for the farmer in Andhra Pradesh, │
│ the student in rural Bihar, the shopkeeper in Tamil Nadu. │
│ │
│ That means multilingual. That means edge-first. │
│ That means it actually has to work." │
│ │
│ — Sai Ruthvik │
└─────────────────────────────────────────────────────────────────────┘

> let's_connect





📍 IIT Madras, Chennai / Hyderabad, India
🎓 B.S. Final Year — IIT Madras
⏰ IST (GMT+5:30) · Usually responds within 24h

contribution snake

Built from scratch · Not a template · Powered by curiosity ☕

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    TeX 3

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  5. ytvid ytvidPublic

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    Python 1

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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hawkh/README.md


> whoami

classSaiRuthvik:
name="Sai Ruthvik"alias="hawkh"location="IIT Madras, Chennai → Hyderabad, India 🇮🇳"email="ruthvikworking@gmail.com"education="B.S. @ IIT Madras (Final Year)"roles= [
"AI/ML Engineer @ Cyepro Solutions",
"Founding ML Engineer @ Visionary EdTech",
"Tech Lead @ Infin AI Club, IIT Madras",
]
domains= ["Computer Vision", "NLP & Indic AI", "RAG Systems",
"Edge AI", "Audio ML", "ML Systems & MLOps"]
currently_building= {
"🌐 Visionary" : "Multilingual RAG pipeline — 12+ Indic languages, zero LangChain",
"🚗 Cyepro" : "CRM-native lead scoring for automobile industry",
"📐 Side Project" : "Multi-agent math tutoring AI for JEE-level students",
}
philosophy="Build AI that works for the next billion — not just in English."open_to= ["Founding ML roles", "AI research collabs", "Competitive ML"]

> currently_building

🌐 Multilingual Indic RAG

@ Visionary EdTech

A production RAG pipeline serving 12+ Indic languages with zero framework overhead.

  • No LangChain · LlamaIndex · LangGraph
  • docling → chunking → hnswlib + rank_bm25
  • RRF fusion for hybrid retrieval
  • Ollama local inference on Colab T4
  • GridSearchCV over chunk size & embeddings

🚗 Automobile Lead Scoring

@ Cyepro Solutions

CRM-native ML pipeline to score and prioritize leads for auto dealerships.

  • Feature engineering from CRM event logs
  • XGBoost / LightGBM scoring engine
  • SHAP explainability for sales teams
  • Stage-wise funnel probability outputs
  • Graph DB schema (Neo4j) for lead graph

📐 Math Mentor AI

Personal Project

JEE-level multi-agent tutoring system with multimodal input and HITL feedback.

  • 6 agents: Memory · Parser · Router · Solver · Verifier · Explainer
  • Claude Vision OCR for handwritten problems
  • Whisper ASR for voice input
  • FAISS RAG + human-in-the-loop triggers
  • Streamlit UI · automated test suite

> experience_timeline

▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓
🚀2025 – PresentFounding ML Engineer
Visionary EdTech
Building the multilingual AI core — pure Python RAG for 12+ Indic languages, embedding optimization, hybrid retrieval at scale
🏢2024 – PresentAI/ML Engineer
Cyepro Solutions, Hyderabad
CRM-native lead scoring, automobile funnel analytics, codeblast analyzer with graph database design
🧑‍💻2024 – PresentTech Lead
Infin AI Club, IIT Madras
Leading AI workshops, mentoring peers on ML projects, organizing hackathons and competitive ML events
🌾2023 – 2024AI/ML Engineer
Livestockify (AgriTech)
Vision-based poultry weight estimation, Wav2Vec2 audio classification (healthy vs sick chickens), IoT sensor fusion, investor-grade PDF reporting
🎯2023Organizer
Jarvis Club, IIT Madras
HackerRank placement prep contests · 100+ participants · end-to-end contest management
▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓

> tech_stack

Core Languages

AI / ML


Tools & Infrastructure


> featured_projects

🔬 Smart Poultry Farm Monitoring System

AgriTech · Computer Vision · Audio ML · IoT

End-to-end AI system for poultry health management combining vision, sound, and sensor data.

  • Wav2Vec2 fine-tuned for healthy vs. sick chicken audio classification
  • Vision pipeline for flock weight estimation (no physical contact)
  • IoT sensor fusion: temperature · ammonia · humidity
  • ReportLab investor-grade PDF health reports
  • Veterinary diagnostic report generation

🛰️ Satellite-Driven Aquaculture ML

Remote Sensing · Multi-task Learning

Water quality prediction for AP carp ponds using satellite imagery.

  • Sentinel-2 + Landsat-9 for DO, NH₃, pH, Chl-a prediction
  • LightGBM / XGBoost ensemble baseline
  • Late-fusion multi-task neural network
  • Backed by IIMA Ventures · IIT Kanpur TBI

📊 RAG Parameter Optimization Pipeline

Information Retrieval · NLP · Evaluation

GridSearchCV-driven systematic optimization of a RAG pipeline over CBSE Std 8 Science content.

  • Sweep over chunk size, overlap, embedding model, top-k
  • Metrics: MRR · NDCG · Hit@K
  • Multi-model embedding benchmarking
  • Reproducible Jupyter notebooks + embedding landscape guide

🚦 Smart Traffic Management — SIH

Computer Vision · Edge AI · Smart India Hackathon

AI-based adaptive traffic signal system for Indian urban intersections.

  • Real-time vehicle detection and density estimation
  • Dynamic signal timing based on live traffic load
  • Optimized for edge deployment constraints

> github_stats




> competitive_profiles


DSA · Problem Solving

ML Competitions

Competitive Coding

Algorithms

> what_I_believe

┌─────────────────────────────────────────────────────────────────────┐
│ │
│ "Most AI is built for Silicon Valley. │
│ I want to build AI for the farmer in Andhra Pradesh, │
│ the student in rural Bihar, the shopkeeper in Tamil Nadu. │
│ │
│ That means multilingual. That means edge-first. │
│ That means it actually has to work." │
│ │
│ — Sai Ruthvik │
└─────────────────────────────────────────────────────────────────────┘

> let's_connect





📍 IIT Madras, Chennai / Hyderabad, India
🎓 B.S. Final Year — IIT Madras
⏰ IST (GMT+5:30) · Usually responds within 24h

contribution snake

Built from scratch · Not a template · Powered by curiosity ☕

Popular repositories Loading

  1. hawkh hawkhPublic template

    TeX 3

  2. chatwithpdf chatwithpdfPublic

    Python 2

  3. Leetcode-Solutions Leetcode-SolutionsPublic

    Collection of LeetCode questions I have solved

    Python 1

  4. ML-Challenge ML-ChallengePublic

    Jupyter Notebook 1

  5. ytvid ytvidPublic

    Python 1

  6. searchengine searchenginePublic

    Python 1

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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hawkh/README.md


> whoami

classSaiRuthvik:
name="Sai Ruthvik"alias="hawkh"location="IIT Madras, Chennai → Hyderabad, India 🇮🇳"email="ruthvikworking@gmail.com"education="B.S. @ IIT Madras (Final Year)"roles= [
"AI/ML Engineer @ Cyepro Solutions",
"Founding ML Engineer @ Visionary EdTech",
"Tech Lead @ Infin AI Club, IIT Madras",
]
domains= ["Computer Vision", "NLP & Indic AI", "RAG Systems",
"Edge AI", "Audio ML", "ML Systems & MLOps"]
currently_building= {
"🌐 Visionary" : "Multilingual RAG pipeline — 12+ Indic languages, zero LangChain",
"🚗 Cyepro" : "CRM-native lead scoring for automobile industry",
"📐 Side Project" : "Multi-agent math tutoring AI for JEE-level students",
}
philosophy="Build AI that works for the next billion — not just in English."open_to= ["Founding ML roles", "AI research collabs", "Competitive ML"]

> currently_building

🌐 Multilingual Indic RAG

@ Visionary EdTech

A production RAG pipeline serving 12+ Indic languages with zero framework overhead.

  • No LangChain · LlamaIndex · LangGraph
  • docling → chunking → hnswlib + rank_bm25
  • RRF fusion for hybrid retrieval
  • Ollama local inference on Colab T4
  • GridSearchCV over chunk size & embeddings

🚗 Automobile Lead Scoring

@ Cyepro Solutions

CRM-native ML pipeline to score and prioritize leads for auto dealerships.

  • Feature engineering from CRM event logs
  • XGBoost / LightGBM scoring engine
  • SHAP explainability for sales teams
  • Stage-wise funnel probability outputs
  • Graph DB schema (Neo4j) for lead graph

📐 Math Mentor AI

Personal Project

JEE-level multi-agent tutoring system with multimodal input and HITL feedback.

  • 6 agents: Memory · Parser · Router · Solver · Verifier · Explainer
  • Claude Vision OCR for handwritten problems
  • Whisper ASR for voice input
  • FAISS RAG + human-in-the-loop triggers
  • Streamlit UI · automated test suite

> experience_timeline

▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓
🚀2025 – PresentFounding ML Engineer
Visionary EdTech
Building the multilingual AI core — pure Python RAG for 12+ Indic languages, embedding optimization, hybrid retrieval at scale
🏢2024 – PresentAI/ML Engineer
Cyepro Solutions, Hyderabad
CRM-native lead scoring, automobile funnel analytics, codeblast analyzer with graph database design
🧑‍💻2024 – PresentTech Lead
Infin AI Club, IIT Madras
Leading AI workshops, mentoring peers on ML projects, organizing hackathons and competitive ML events
🌾2023 – 2024AI/ML Engineer
Livestockify (AgriTech)
Vision-based poultry weight estimation, Wav2Vec2 audio classification (healthy vs sick chickens), IoT sensor fusion, investor-grade PDF reporting
🎯2023Organizer
Jarvis Club, IIT Madras
HackerRank placement prep contests · 100+ participants · end-to-end contest management
▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓

> tech_stack

Core Languages

AI / ML


Tools & Infrastructure


> featured_projects

🔬 Smart Poultry Farm Monitoring System

AgriTech · Computer Vision · Audio ML · IoT

End-to-end AI system for poultry health management combining vision, sound, and sensor data.

  • Wav2Vec2 fine-tuned for healthy vs. sick chicken audio classification
  • Vision pipeline for flock weight estimation (no physical contact)
  • IoT sensor fusion: temperature · ammonia · humidity
  • ReportLab investor-grade PDF health reports
  • Veterinary diagnostic report generation

🛰️ Satellite-Driven Aquaculture ML

Remote Sensing · Multi-task Learning

Water quality prediction for AP carp ponds using satellite imagery.

  • Sentinel-2 + Landsat-9 for DO, NH₃, pH, Chl-a prediction
  • LightGBM / XGBoost ensemble baseline
  • Late-fusion multi-task neural network
  • Backed by IIMA Ventures · IIT Kanpur TBI

📊 RAG Parameter Optimization Pipeline

Information Retrieval · NLP · Evaluation

GridSearchCV-driven systematic optimization of a RAG pipeline over CBSE Std 8 Science content.

  • Sweep over chunk size, overlap, embedding model, top-k
  • Metrics: MRR · NDCG · Hit@K
  • Multi-model embedding benchmarking
  • Reproducible Jupyter notebooks + embedding landscape guide

🚦 Smart Traffic Management — SIH

Computer Vision · Edge AI · Smart India Hackathon

AI-based adaptive traffic signal system for Indian urban intersections.

  • Real-time vehicle detection and density estimation
  • Dynamic signal timing based on live traffic load
  • Optimized for edge deployment constraints

> github_stats




> competitive_profiles


DSA · Problem Solving

ML Competitions

Competitive Coding

Algorithms

> what_I_believe

┌─────────────────────────────────────────────────────────────────────┐
│ │
│ "Most AI is built for Silicon Valley. │
│ I want to build AI for the farmer in Andhra Pradesh, │
│ the student in rural Bihar, the shopkeeper in Tamil Nadu. │
│ │
│ That means multilingual. That means edge-first. │
│ That means it actually has to work." │
│ │
│ — Sai Ruthvik │
└─────────────────────────────────────────────────────────────────────┘

> let's_connect





📍 IIT Madras, Chennai / Hyderabad, India
🎓 B.S. Final Year — IIT Madras
⏰ IST (GMT+5:30) · Usually responds within 24h

contribution snake

Built from scratch · Not a template · Powered by curiosity ☕

Popular repositories Loading

  1. hawkh hawkhPublic template

    TeX 3

  2. chatwithpdf chatwithpdfPublic

    Python 2

  3. Leetcode-Solutions Leetcode-SolutionsPublic

    Collection of LeetCode questions I have solved

    Python 1

  4. ML-Challenge ML-ChallengePublic

    Jupyter Notebook 1

  5. ytvid ytvidPublic

    Python 1

  6. searchengine searchenginePublic

    Python 1

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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hawkh/README.md


> whoami

classSaiRuthvik:
name="Sai Ruthvik"alias="hawkh"location="IIT Madras, Chennai → Hyderabad, India 🇮🇳"email="ruthvikworking@gmail.com"education="B.S. @ IIT Madras (Final Year)"roles= [
"AI/ML Engineer @ Cyepro Solutions",
"Founding ML Engineer @ Visionary EdTech",
"Tech Lead @ Infin AI Club, IIT Madras",
]
domains= ["Computer Vision", "NLP & Indic AI", "RAG Systems",
"Edge AI", "Audio ML", "ML Systems & MLOps"]
currently_building= {
"🌐 Visionary" : "Multilingual RAG pipeline — 12+ Indic languages, zero LangChain",
"🚗 Cyepro" : "CRM-native lead scoring for automobile industry",
"📐 Side Project" : "Multi-agent math tutoring AI for JEE-level students",
}
philosophy="Build AI that works for the next billion — not just in English."open_to= ["Founding ML roles", "AI research collabs", "Competitive ML"]

> currently_building

🌐 Multilingual Indic RAG

@ Visionary EdTech

A production RAG pipeline serving 12+ Indic languages with zero framework overhead.

  • No LangChain · LlamaIndex · LangGraph
  • docling → chunking → hnswlib + rank_bm25
  • RRF fusion for hybrid retrieval
  • Ollama local inference on Colab T4
  • GridSearchCV over chunk size & embeddings

🚗 Automobile Lead Scoring

@ Cyepro Solutions

CRM-native ML pipeline to score and prioritize leads for auto dealerships.

  • Feature engineering from CRM event logs
  • XGBoost / LightGBM scoring engine
  • SHAP explainability for sales teams
  • Stage-wise funnel probability outputs
  • Graph DB schema (Neo4j) for lead graph

📐 Math Mentor AI

Personal Project

JEE-level multi-agent tutoring system with multimodal input and HITL feedback.

  • 6 agents: Memory · Parser · Router · Solver · Verifier · Explainer
  • Claude Vision OCR for handwritten problems
  • Whisper ASR for voice input
  • FAISS RAG + human-in-the-loop triggers
  • Streamlit UI · automated test suite

> experience_timeline

▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓
🚀2025 – PresentFounding ML Engineer
Visionary EdTech
Building the multilingual AI core — pure Python RAG for 12+ Indic languages, embedding optimization, hybrid retrieval at scale
🏢2024 – PresentAI/ML Engineer
Cyepro Solutions, Hyderabad
CRM-native lead scoring, automobile funnel analytics, codeblast analyzer with graph database design
🧑‍💻2024 – PresentTech Lead
Infin AI Club, IIT Madras
Leading AI workshops, mentoring peers on ML projects, organizing hackathons and competitive ML events
🌾2023 – 2024AI/ML Engineer
Livestockify (AgriTech)
Vision-based poultry weight estimation, Wav2Vec2 audio classification (healthy vs sick chickens), IoT sensor fusion, investor-grade PDF reporting
🎯2023Organizer
Jarvis Club, IIT Madras
HackerRank placement prep contests · 100+ participants · end-to-end contest management
▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓

> tech_stack

Core Languages

AI / ML


Tools & Infrastructure


> featured_projects

🔬 Smart Poultry Farm Monitoring System

AgriTech · Computer Vision · Audio ML · IoT

End-to-end AI system for poultry health management combining vision, sound, and sensor data.

  • Wav2Vec2 fine-tuned for healthy vs. sick chicken audio classification
  • Vision pipeline for flock weight estimation (no physical contact)
  • IoT sensor fusion: temperature · ammonia · humidity
  • ReportLab investor-grade PDF health reports
  • Veterinary diagnostic report generation

🛰️ Satellite-Driven Aquaculture ML

Remote Sensing · Multi-task Learning

Water quality prediction for AP carp ponds using satellite imagery.

  • Sentinel-2 + Landsat-9 for DO, NH₃, pH, Chl-a prediction
  • LightGBM / XGBoost ensemble baseline
  • Late-fusion multi-task neural network
  • Backed by IIMA Ventures · IIT Kanpur TBI

📊 RAG Parameter Optimization Pipeline

Information Retrieval · NLP · Evaluation

GridSearchCV-driven systematic optimization of a RAG pipeline over CBSE Std 8 Science content.

  • Sweep over chunk size, overlap, embedding model, top-k
  • Metrics: MRR · NDCG · Hit@K
  • Multi-model embedding benchmarking
  • Reproducible Jupyter notebooks + embedding landscape guide

🚦 Smart Traffic Management — SIH

Computer Vision · Edge AI · Smart India Hackathon

AI-based adaptive traffic signal system for Indian urban intersections.

  • Real-time vehicle detection and density estimation
  • Dynamic signal timing based on live traffic load
  • Optimized for edge deployment constraints

> github_stats




> competitive_profiles


DSA · Problem Solving

ML Competitions

Competitive Coding

Algorithms

> what_I_believe

┌─────────────────────────────────────────────────────────────────────┐
│ │
│ "Most AI is built for Silicon Valley. │
│ I want to build AI for the farmer in Andhra Pradesh, │
│ the student in rural Bihar, the shopkeeper in Tamil Nadu. │
│ │
│ That means multilingual. That means edge-first. │
│ That means it actually has to work." │
│ │
│ — Sai Ruthvik │
└─────────────────────────────────────────────────────────────────────┘

> let's_connect





📍 IIT Madras, Chennai / Hyderabad, India
🎓 B.S. Final Year — IIT Madras
⏰ IST (GMT+5:30) · Usually responds within 24h

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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hawkh/README.md


> whoami

classSaiRuthvik:
name="Sai Ruthvik"alias="hawkh"location="IIT Madras, Chennai → Hyderabad, India 🇮🇳"email="ruthvikworking@gmail.com"education="B.S. @ IIT Madras (Final Year)"roles= [
"AI/ML Engineer @ Cyepro Solutions",
"Founding ML Engineer @ Visionary EdTech",
"Tech Lead @ Infin AI Club, IIT Madras",
]
domains= ["Computer Vision", "NLP & Indic AI", "RAG Systems",
"Edge AI", "Audio ML", "ML Systems & MLOps"]
currently_building= {
"🌐 Visionary" : "Multilingual RAG pipeline — 12+ Indic languages, zero LangChain",
"🚗 Cyepro" : "CRM-native lead scoring for automobile industry",
"📐 Side Project" : "Multi-agent math tutoring AI for JEE-level students",
}
philosophy="Build AI that works for the next billion — not just in English."open_to= ["Founding ML roles", "AI research collabs", "Competitive ML"]

> currently_building

🌐 Multilingual Indic RAG

@ Visionary EdTech

A production RAG pipeline serving 12+ Indic languages with zero framework overhead.

  • No LangChain · LlamaIndex · LangGraph
  • docling → chunking → hnswlib + rank_bm25
  • RRF fusion for hybrid retrieval
  • Ollama local inference on Colab T4
  • GridSearchCV over chunk size & embeddings

🚗 Automobile Lead Scoring

@ Cyepro Solutions

CRM-native ML pipeline to score and prioritize leads for auto dealerships.

  • Feature engineering from CRM event logs
  • XGBoost / LightGBM scoring engine
  • SHAP explainability for sales teams
  • Stage-wise funnel probability outputs
  • Graph DB schema (Neo4j) for lead graph

📐 Math Mentor AI

Personal Project

JEE-level multi-agent tutoring system with multimodal input and HITL feedback.

  • 6 agents: Memory · Parser · Router · Solver · Verifier · Explainer
  • Claude Vision OCR for handwritten problems
  • Whisper ASR for voice input
  • FAISS RAG + human-in-the-loop triggers
  • Streamlit UI · automated test suite

> experience_timeline

▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓
🚀2025 – PresentFounding ML Engineer
Visionary EdTech
Building the multilingual AI core — pure Python RAG for 12+ Indic languages, embedding optimization, hybrid retrieval at scale
🏢2024 – PresentAI/ML Engineer
Cyepro Solutions, Hyderabad
CRM-native lead scoring, automobile funnel analytics, codeblast analyzer with graph database design
🧑‍💻2024 – PresentTech Lead
Infin AI Club, IIT Madras
Leading AI workshops, mentoring peers on ML projects, organizing hackathons and competitive ML events
🌾2023 – 2024AI/ML Engineer
Livestockify (AgriTech)
Vision-based poultry weight estimation, Wav2Vec2 audio classification (healthy vs sick chickens), IoT sensor fusion, investor-grade PDF reporting
🎯2023Organizer
Jarvis Club, IIT Madras
HackerRank placement prep contests · 100+ participants · end-to-end contest management
▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓

> tech_stack

Core Languages

AI / ML


Tools & Infrastructure


> featured_projects

🔬 Smart Poultry Farm Monitoring System

AgriTech · Computer Vision · Audio ML · IoT

End-to-end AI system for poultry health management combining vision, sound, and sensor data.

  • Wav2Vec2 fine-tuned for healthy vs. sick chicken audio classification
  • Vision pipeline for flock weight estimation (no physical contact)
  • IoT sensor fusion: temperature · ammonia · humidity
  • ReportLab investor-grade PDF health reports
  • Veterinary diagnostic report generation

🛰️ Satellite-Driven Aquaculture ML

Remote Sensing · Multi-task Learning

Water quality prediction for AP carp ponds using satellite imagery.

  • Sentinel-2 + Landsat-9 for DO, NH₃, pH, Chl-a prediction
  • LightGBM / XGBoost ensemble baseline
  • Late-fusion multi-task neural network
  • Backed by IIMA Ventures · IIT Kanpur TBI

📊 RAG Parameter Optimization Pipeline

Information Retrieval · NLP · Evaluation

GridSearchCV-driven systematic optimization of a RAG pipeline over CBSE Std 8 Science content.

  • Sweep over chunk size, overlap, embedding model, top-k
  • Metrics: MRR · NDCG · Hit@K
  • Multi-model embedding benchmarking
  • Reproducible Jupyter notebooks + embedding landscape guide

🚦 Smart Traffic Management — SIH

Computer Vision · Edge AI · Smart India Hackathon

AI-based adaptive traffic signal system for Indian urban intersections.

  • Real-time vehicle detection and density estimation
  • Dynamic signal timing based on live traffic load
  • Optimized for edge deployment constraints

> github_stats




> competitive_profiles


DSA · Problem Solving

ML Competitions

Competitive Coding

Algorithms

> what_I_believe

┌─────────────────────────────────────────────────────────────────────┐
│ │
│ "Most AI is built for Silicon Valley. │
│ I want to build AI for the farmer in Andhra Pradesh, │
│ the student in rural Bihar, the shopkeeper in Tamil Nadu. │
│ │
│ That means multilingual. That means edge-first. │
│ That means it actually has to work." │
│ │
│ — Sai Ruthvik │
└─────────────────────────────────────────────────────────────────────┘

> let's_connect





📍 IIT Madras, Chennai / Hyderabad, India
🎓 B.S. Final Year — IIT Madras
⏰ IST (GMT+5:30) · Usually responds within 24h

contribution snake

Built from scratch · Not a template · Powered by curiosity ☕

Popular repositories Loading

  1. hawkh hawkhPublic template

    TeX 3

  2. chatwithpdf chatwithpdfPublic

    Python 2

  3. Leetcode-Solutions Leetcode-SolutionsPublic

    Collection of LeetCode questions I have solved

    Python 1

  4. ML-Challenge ML-ChallengePublic

    Jupyter Notebook 1

  5. ytvid ytvidPublic

    Python 1

  6. searchengine searchenginePublic

    Python 1