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> 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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