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VenkateshSoni/README.md

Hi Waving hand animated gif, I'm Venkatesh Soni

VenkateshSoni

🚀 About Me

I'm a Data & AI Consultant passionate about transforming data into business value. With a strong foundation in machine learning, deep learning, natural language processing, and computer vision, I specialize in designing and delivering innovative AI solutions. My experience spans leading impactful projects across diverse domains, always with a focus on solving real-world problems and driving measurable outcomes.

Currently, I'm diving deep into:

  • Building Advanced GenAI applications
  • Exploring Agentic AI pipelines

I love turning ideas into production-grade AI/ML systems—and collaborating with fellow builders, researchers, and product minds!

🔧 Technologies & Expertise

  • Machine Learning / Deep Learning: Scikit-learn, TensorFlow, Keras, PyTorch
  • GenAI & NLP: LLaVA, Transformers, HuggingFace, LangChain, LangGraph, RAG
  • Computer Vision: Object detection, image captioning, classification, OCR, DocAI, Edge Detection
  • Deployment: Streamlit, Flask, Docker, FastAPI
  • Cloud: Azure (Microsoft Certified Data Scientist Associate), Amazon SageMaker
  • Languages: Python, C++
  • Databases: MySQL, MongoDB, Pinecone, Milvus, ChromaDB, Qdrant

🧠 Ask Me About

  • AI / ML / GenAI / Deep Learning
  • Computer Vision & Document AI
  • RAG pipelines & Enterprise AI apps
  • NLP & Language Models
  • ML Ops & Production-ready AI Systems

🤝 Let's Connect!

Pinned Loading

  1. Jigsaw-puzzle-solverJigsaw-puzzle-solverPublic

    This project presents a deep learning-based solution for solving jigsaw puzzles. It employs permutation learning techniques to analyze and reconstruct jigsaw puzzles from provided image pieces. A u…

    Python

  2. ChatSentimentChatSentimentPublic

    Real-Time Chat Sentiment Analysis using NLP A sentiment analysis tool designed to evaluate and display emotional tone in real-time chat messages. It leverages natural language processing techniques…

    Jupyter Notebook 1 1

  3. MarathiSentimentAnalysisMarathiSentimentAnalysisPublic

    A natural language processing project focused on analyzing sentiment in Marathi text. It leverages state of the art Large Language Model to classify text into positive, negative, or neutral sentime…

    Python

  4. imgcapimgcapPublic

    Image Captioning Web App using LLaVA (Large Language and Vision Assistant) This project generates descriptive captions for images using the LLaVA model, a powerful vision-language model. It feature…

    HTML

  5. MachineFailureMachineFailurePublic

    Predictive Maintenance for Machine Failure Detection using Machine Learning This project focuses on predicting machine failures using sensor data and machine learning techniques. By analyzing opera…

    Jupyter Notebook

, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
 blocks
(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
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;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} 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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Achievement: Pull SharkAchievement: Quickdraw
Achievements
Achievement: Pull SharkAchievement: Quickdraw

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VenkateshSoni/README.md
Hi Waving hand animated gif, I'm Venkatesh Soni
VenkateshSoni
🚀 About Me
I'm a Data & AI Consultant passionate about transforming data into business value. With a strong foundation in machine learning, deep learning, natural language processing, and computer vision, I specialize in designing and delivering innovative AI solutions. My experience spans leading impactful projects across diverse domains, always with a focus on solving real-world problems and driving measurable outcomes.
Currently, I'm diving deep into:
  • Building Advanced GenAI applications
  • Exploring Agentic AI pipelines
I love turning ideas into production-grade AI/ML systems—and collaborating with fellow builders, researchers, and product minds!
🔧 Technologies & Expertise
  • Machine Learning / Deep Learning: Scikit-learn, TensorFlow, Keras, PyTorch
  • GenAI & NLP: LLaVA, Transformers, HuggingFace, LangChain, LangGraph, RAG
  • Computer Vision: Object detection, image captioning, classification, OCR, DocAI, Edge Detection
  • Deployment: Streamlit, Flask, Docker, FastAPI
  • Cloud: Azure (Microsoft Certified Data Scientist Associate), Amazon SageMaker
  • Languages: Python, C++
  • Databases: MySQL, MongoDB, Pinecone, Milvus, ChromaDB, Qdrant
🧠 Ask Me About
  • AI / ML / GenAI / Deep Learning
  • Computer Vision & Document AI
  • RAG pipelines & Enterprise AI apps
  • NLP & Language Models
  • ML Ops & Production-ready AI Systems
🤝 Let's Connect!

Pinned
Loading
  1. Jigsaw-puzzle-solverJigsaw-puzzle-solverPublic
    
This project presents a deep learning-based solution for solving jigsaw puzzles. It employs permutation learning techniques to analyze and reconstruct jigsaw puzzles from provided image pieces. A u…

    Python
  2. ChatSentimentChatSentimentPublic
    
Real-Time Chat Sentiment Analysis using NLP A sentiment analysis tool designed to evaluate and display emotional tone in real-time chat messages. It leverages natural language processing techniques…

    Jupyter Notebook
1

1

  3. MarathiSentimentAnalysisMarathiSentimentAnalysisPublic
    
A natural language processing project focused on analyzing sentiment in Marathi text. It leverages state of the art Large Language Model to classify text into positive, negative, or neutral sentime…

    Python
  4. imgcapimgcapPublic
    
Image Captioning Web App using LLaVA (Large Language and Vision Assistant) This project generates descriptive captions for images using the LLaVA model, a powerful vision-language model. It feature…

    HTML
  5. MachineFailureMachineFailurePublic
    
Predictive Maintenance for Machine Failure Detection using Machine Learning This project focuses on predicting machine failures using sensor data and machine learning techniques. By analyzing opera…

    Jupyter Notebook

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

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🏠
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 · 38
following

Achievements
Achievement: Pull SharkAchievement: Quickdraw
Achievements
Achievement: Pull SharkAchievement: Quickdraw

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VenkateshSoni/README.md
Hi Waving hand animated gif, I'm Venkatesh Soni
VenkateshSoni
🚀 About Me
I'm a Data & AI Consultant passionate about transforming data into business value. With a strong foundation in machine learning, deep learning, natural language processing, and computer vision, I specialize in designing and delivering innovative AI solutions. My experience spans leading impactful projects across diverse domains, always with a focus on solving real-world problems and driving measurable outcomes.
Currently, I'm diving deep into:
  • Building Advanced GenAI applications
  • Exploring Agentic AI pipelines
I love turning ideas into production-grade AI/ML systems—and collaborating with fellow builders, researchers, and product minds!
🔧 Technologies & Expertise
  • Machine Learning / Deep Learning: Scikit-learn, TensorFlow, Keras, PyTorch
  • GenAI & NLP: LLaVA, Transformers, HuggingFace, LangChain, LangGraph, RAG
  • Computer Vision: Object detection, image captioning, classification, OCR, DocAI, Edge Detection
  • Deployment: Streamlit, Flask, Docker, FastAPI
  • Cloud: Azure (Microsoft Certified Data Scientist Associate), Amazon SageMaker
  • Languages: Python, C++
  • Databases: MySQL, MongoDB, Pinecone, Milvus, ChromaDB, Qdrant
🧠 Ask Me About
  • AI / ML / GenAI / Deep Learning
  • Computer Vision & Document AI
  • RAG pipelines & Enterprise AI apps
  • NLP & Language Models
  • ML Ops & Production-ready AI Systems
🤝 Let's Connect!

Pinned
Loading
  1. Jigsaw-puzzle-solverJigsaw-puzzle-solverPublic
    
This project presents a deep learning-based solution for solving jigsaw puzzles. It employs permutation learning techniques to analyze and reconstruct jigsaw puzzles from provided image pieces. A u…

    Python
  2. ChatSentimentChatSentimentPublic
    
Real-Time Chat Sentiment Analysis using NLP A sentiment analysis tool designed to evaluate and display emotional tone in real-time chat messages. It leverages natural language processing techniques…

    Jupyter Notebook
1

1

  3. MarathiSentimentAnalysisMarathiSentimentAnalysisPublic
    
A natural language processing project focused on analyzing sentiment in Marathi text. It leverages state of the art Large Language Model to classify text into positive, negative, or neutral sentime…

    Python
  4. imgcapimgcapPublic
    
Image Captioning Web App using LLaVA (Large Language and Vision Assistant) This project generates descriptive captions for images using the LLaVA model, a powerful vision-language model. It feature…

    HTML
  5. MachineFailureMachineFailurePublic
    
Predictive Maintenance for Machine Failure Detection using Machine Learning This project focuses on predicting machine failures using sensor data and machine learning techniques. By analyzing opera…

    Jupyter Notebook

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

Skip to content
View VenkateshSoni's full-sized avatar
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Working from home
🏠
Working from home
25
followers
 · 38
following

Achievements
Achievement: Pull SharkAchievement: Quickdraw
Achievements
Achievement: Pull SharkAchievement: Quickdraw

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VenkateshSoni/README.md
Hi Waving hand animated gif, I'm Venkatesh Soni
VenkateshSoni
🚀 About Me
I'm a Data & AI Consultant passionate about transforming data into business value. With a strong foundation in machine learning, deep learning, natural language processing, and computer vision, I specialize in designing and delivering innovative AI solutions. My experience spans leading impactful projects across diverse domains, always with a focus on solving real-world problems and driving measurable outcomes.
Currently, I'm diving deep into:
  • Building Advanced GenAI applications
  • Exploring Agentic AI pipelines
I love turning ideas into production-grade AI/ML systems—and collaborating with fellow builders, researchers, and product minds!
🔧 Technologies & Expertise
  • Machine Learning / Deep Learning: Scikit-learn, TensorFlow, Keras, PyTorch
  • GenAI & NLP: LLaVA, Transformers, HuggingFace, LangChain, LangGraph, RAG
  • Computer Vision: Object detection, image captioning, classification, OCR, DocAI, Edge Detection
  • Deployment: Streamlit, Flask, Docker, FastAPI
  • Cloud: Azure (Microsoft Certified Data Scientist Associate), Amazon SageMaker
  • Languages: Python, C++
  • Databases: MySQL, MongoDB, Pinecone, Milvus, ChromaDB, Qdrant
🧠 Ask Me About
  • AI / ML / GenAI / Deep Learning
  • Computer Vision & Document AI
  • RAG pipelines & Enterprise AI apps
  • NLP & Language Models
  • ML Ops & Production-ready AI Systems
🤝 Let's Connect!

Pinned
Loading
  1. Jigsaw-puzzle-solverJigsaw-puzzle-solverPublic
    
This project presents a deep learning-based solution for solving jigsaw puzzles. It employs permutation learning techniques to analyze and reconstruct jigsaw puzzles from provided image pieces. A u…

    Python
  2. ChatSentimentChatSentimentPublic
    
Real-Time Chat Sentiment Analysis using NLP A sentiment analysis tool designed to evaluate and display emotional tone in real-time chat messages. It leverages natural language processing techniques…

    Jupyter Notebook
1

1

  3. MarathiSentimentAnalysisMarathiSentimentAnalysisPublic
    
A natural language processing project focused on analyzing sentiment in Marathi text. It leverages state of the art Large Language Model to classify text into positive, negative, or neutral sentime…

    Python
  4. imgcapimgcapPublic
    
Image Captioning Web App using LLaVA (Large Language and Vision Assistant) This project generates descriptive captions for images using the LLaVA model, a powerful vision-language model. It feature…

    HTML
  5. MachineFailureMachineFailurePublic
    
Predictive Maintenance for Machine Failure Detection using Machine Learning This project focuses on predicting machine failures using sensor data and machine learning techniques. By analyzing opera…

    Jupyter Notebook

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
}
});
return changed ? u.toString() : url;
} catch (e) {
return url;
}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} 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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🏠
Working from home
25
followers
 · 38
following

Achievements
Achievement: Pull SharkAchievement: Quickdraw
Achievements
Achievement: Pull SharkAchievement: Quickdraw

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VenkateshSoni/README.md
Hi Waving hand animated gif, I'm Venkatesh Soni
VenkateshSoni
🚀 About Me
I'm a Data & AI Consultant passionate about transforming data into business value. With a strong foundation in machine learning, deep learning, natural language processing, and computer vision, I specialize in designing and delivering innovative AI solutions. My experience spans leading impactful projects across diverse domains, always with a focus on solving real-world problems and driving measurable outcomes.
Currently, I'm diving deep into:
  • Building Advanced GenAI applications
  • Exploring Agentic AI pipelines
I love turning ideas into production-grade AI/ML systems—and collaborating with fellow builders, researchers, and product minds!
🔧 Technologies & Expertise
  • Machine Learning / Deep Learning: Scikit-learn, TensorFlow, Keras, PyTorch
  • GenAI & NLP: LLaVA, Transformers, HuggingFace, LangChain, LangGraph, RAG
  • Computer Vision: Object detection, image captioning, classification, OCR, DocAI, Edge Detection
  • Deployment: Streamlit, Flask, Docker, FastAPI
  • Cloud: Azure (Microsoft Certified Data Scientist Associate), Amazon SageMaker
  • Languages: Python, C++
  • Databases: MySQL, MongoDB, Pinecone, Milvus, ChromaDB, Qdrant
🧠 Ask Me About
  • AI / ML / GenAI / Deep Learning
  • Computer Vision & Document AI
  • RAG pipelines & Enterprise AI apps
  • NLP & Language Models
  • ML Ops & Production-ready AI Systems
🤝 Let's Connect!

Pinned
Loading
  1. Jigsaw-puzzle-solverJigsaw-puzzle-solverPublic
    
This project presents a deep learning-based solution for solving jigsaw puzzles. It employs permutation learning techniques to analyze and reconstruct jigsaw puzzles from provided image pieces. A u…

    Python
  2. ChatSentimentChatSentimentPublic
    
Real-Time Chat Sentiment Analysis using NLP A sentiment analysis tool designed to evaluate and display emotional tone in real-time chat messages. It leverages natural language processing techniques…

    Jupyter Notebook
1

1

  3. MarathiSentimentAnalysisMarathiSentimentAnalysisPublic
    
A natural language processing project focused on analyzing sentiment in Marathi text. It leverages state of the art Large Language Model to classify text into positive, negative, or neutral sentime…

    Python
  4. imgcapimgcapPublic
    
Image Captioning Web App using LLaVA (Large Language and Vision Assistant) This project generates descriptive captions for images using the LLaVA model, a powerful vision-language model. It feature…

    HTML
  5. MachineFailureMachineFailurePublic
    
Predictive Maintenance for Machine Failure Detection using Machine Learning This project focuses on predicting machine failures using sensor data and machine learning techniques. By analyzing opera…

    Jupyter Notebook

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

Skip to content
View VenkateshSoni's full-sized avatar
🏠
Working from home
🏠
Working from home
25
followers
 · 38
following

Achievements
Achievement: Pull SharkAchievement: Quickdraw
Achievements
Achievement: Pull SharkAchievement: Quickdraw

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VenkateshSoni/README.md
Hi Waving hand animated gif, I'm Venkatesh Soni
VenkateshSoni
🚀 About Me
I'm a Data & AI Consultant passionate about transforming data into business value. With a strong foundation in machine learning, deep learning, natural language processing, and computer vision, I specialize in designing and delivering innovative AI solutions. My experience spans leading impactful projects across diverse domains, always with a focus on solving real-world problems and driving measurable outcomes.
Currently, I'm diving deep into:
  • Building Advanced GenAI applications
  • Exploring Agentic AI pipelines
I love turning ideas into production-grade AI/ML systems—and collaborating with fellow builders, researchers, and product minds!
🔧 Technologies & Expertise
  • Machine Learning / Deep Learning: Scikit-learn, TensorFlow, Keras, PyTorch
  • GenAI & NLP: LLaVA, Transformers, HuggingFace, LangChain, LangGraph, RAG
  • Computer Vision: Object detection, image captioning, classification, OCR, DocAI, Edge Detection
  • Deployment: Streamlit, Flask, Docker, FastAPI
  • Cloud: Azure (Microsoft Certified Data Scientist Associate), Amazon SageMaker
  • Languages: Python, C++
  • Databases: MySQL, MongoDB, Pinecone, Milvus, ChromaDB, Qdrant
🧠 Ask Me About
  • AI / ML / GenAI / Deep Learning
  • Computer Vision & Document AI
  • RAG pipelines & Enterprise AI apps
  • NLP & Language Models
  • ML Ops & Production-ready AI Systems
🤝 Let's Connect!

Pinned
Loading
  1. Jigsaw-puzzle-solverJigsaw-puzzle-solverPublic
    
This project presents a deep learning-based solution for solving jigsaw puzzles. It employs permutation learning techniques to analyze and reconstruct jigsaw puzzles from provided image pieces. A u…

    Python
  2. ChatSentimentChatSentimentPublic
    
Real-Time Chat Sentiment Analysis using NLP A sentiment analysis tool designed to evaluate and display emotional tone in real-time chat messages. It leverages natural language processing techniques…

    Jupyter Notebook
1

1

  3. MarathiSentimentAnalysisMarathiSentimentAnalysisPublic
    
A natural language processing project focused on analyzing sentiment in Marathi text. It leverages state of the art Large Language Model to classify text into positive, negative, or neutral sentime…

    Python
  4. imgcapimgcapPublic
    
Image Captioning Web App using LLaVA (Large Language and Vision Assistant) This project generates descriptive captions for images using the LLaVA model, a powerful vision-language model. It feature…

    HTML
  5. MachineFailureMachineFailurePublic
    
Predictive Maintenance for Machine Failure Detection using Machine Learning This project focuses on predicting machine failures using sensor data and machine learning techniques. By analyzing opera…

    Jupyter Notebook

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

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VenkateshSoni/README.md
Hi Waving hand animated gif, I'm Venkatesh Soni
VenkateshSoni
🚀 About Me
I'm a Data & AI Consultant passionate about transforming data into business value. With a strong foundation in machine learning, deep learning, natural language processing, and computer vision, I specialize in designing and delivering innovative AI solutions. My experience spans leading impactful projects across diverse domains, always with a focus on solving real-world problems and driving measurable outcomes.
Currently, I'm diving deep into:
  • Building Advanced GenAI applications
  • Exploring Agentic AI pipelines
I love turning ideas into production-grade AI/ML systems—and collaborating with fellow builders, researchers, and product minds!
🔧 Technologies & Expertise
  • Machine Learning / Deep Learning: Scikit-learn, TensorFlow, Keras, PyTorch
  • GenAI & NLP: LLaVA, Transformers, HuggingFace, LangChain, LangGraph, RAG
  • Computer Vision: Object detection, image captioning, classification, OCR, DocAI, Edge Detection
  • Deployment: Streamlit, Flask, Docker, FastAPI
  • Cloud: Azure (Microsoft Certified Data Scientist Associate), Amazon SageMaker
  • Languages: Python, C++
  • Databases: MySQL, MongoDB, Pinecone, Milvus, ChromaDB, Qdrant
🧠 Ask Me About
  • AI / ML / GenAI / Deep Learning
  • Computer Vision & Document AI
  • RAG pipelines & Enterprise AI apps
  • NLP & Language Models
  • ML Ops & Production-ready AI Systems
🤝 Let's Connect!

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

Skip to content
View VenkateshSoni's full-sized avatar
🏠
Working from home
🏠
Working from home
25
followers
 · 38
following

Achievements
Achievement: Pull SharkAchievement: Quickdraw
Achievements
Achievement: Pull SharkAchievement: Quickdraw

Block or report VenkateshSoni

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VenkateshSoni/README.md
Hi Waving hand animated gif, I'm Venkatesh Soni
VenkateshSoni
🚀 About Me
I'm a Data & AI Consultant passionate about transforming data into business value. With a strong foundation in machine learning, deep learning, natural language processing, and computer vision, I specialize in designing and delivering innovative AI solutions. My experience spans leading impactful projects across diverse domains, always with a focus on solving real-world problems and driving measurable outcomes.
Currently, I'm diving deep into:
  • Building Advanced GenAI applications
  • Exploring Agentic AI pipelines
I love turning ideas into production-grade AI/ML systems—and collaborating with fellow builders, researchers, and product minds!
🔧 Technologies & Expertise
  • Machine Learning / Deep Learning: Scikit-learn, TensorFlow, Keras, PyTorch
  • GenAI & NLP: LLaVA, Transformers, HuggingFace, LangChain, LangGraph, RAG
  • Computer Vision: Object detection, image captioning, classification, OCR, DocAI, Edge Detection
  • Deployment: Streamlit, Flask, Docker, FastAPI
  • Cloud: Azure (Microsoft Certified Data Scientist Associate), Amazon SageMaker
  • Languages: Python, C++
  • Databases: MySQL, MongoDB, Pinecone, Milvus, ChromaDB, Qdrant
🧠 Ask Me About
  • AI / ML / GenAI / Deep Learning
  • Computer Vision & Document AI
  • RAG pipelines & Enterprise AI apps
  • NLP & Language Models
  • ML Ops & Production-ready AI Systems
🤝 Let's Connect!

Pinned
Loading
  1. Jigsaw-puzzle-solverJigsaw-puzzle-solverPublic
    
This project presents a deep learning-based solution for solving jigsaw puzzles. It employs permutation learning techniques to analyze and reconstruct jigsaw puzzles from provided image pieces. A u…

    Python
  2. ChatSentimentChatSentimentPublic
    
Real-Time Chat Sentiment Analysis using NLP A sentiment analysis tool designed to evaluate and display emotional tone in real-time chat messages. It leverages natural language processing techniques…

    Jupyter Notebook
1

1

  3. MarathiSentimentAnalysisMarathiSentimentAnalysisPublic
    
A natural language processing project focused on analyzing sentiment in Marathi text. It leverages state of the art Large Language Model to classify text into positive, negative, or neutral sentime…

    Python
  4. imgcapimgcapPublic
    
Image Captioning Web App using LLaVA (Large Language and Vision Assistant) This project generates descriptive captions for images using the LLaVA model, a powerful vision-language model. It feature…

    HTML
  5. MachineFailureMachineFailurePublic
    
Predictive Maintenance for Machine Failure Detection using Machine Learning This project focuses on predicting machine failures using sensor data and machine learning techniques. By analyzing opera…

    Jupyter Notebook