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jsonusuman351/README.md

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🧠 About Me

👨‍💻 Name:        Sonu Kumar Suman
🎯 Role:        Independent AI/ML Consultant
🏢 Current:     Senior Associate (Project-Based) @ Innodata India
🌍 Location:    India 🇮🇳
🎓 Education:   MCA - BIT Mesra (CGPA: 8.5) | BCA - T.N.B College
🚀 Focus:       Generative AI, Autonomous Agents, MCP, Advanced RAG
🔬 Research:    IoT-Enhanced ML for Crop Disease Detection (Peer-Reviewed)
⚡ Mission:     Transforming complex AI research into production-ready solutions

I am a results-driven AI & Data Science professional with a deep passion for Generative AI and Autonomous Systems. My work centers around designing intelligent, scalable AI architectures — from low-level Transformer & Self-Attention mechanics to high-level multi-agent orchestration using LangGraph and the Model Context Protocol (MCP).

I actively collaborate with frontier tools like Claude AI to push the boundaries of what's possible in AI-driven engineering.

  • 🧩 Specialization: LLM Architectures, Agentic Workflows, RAG Pipelines, End-to-End AI Deployment
  • 📚 Published Research: IoT-Enhanced Machine Learning for Crop Disease Detection
  • 💼 Currently Building: Production-grade autonomous agents with LangGraph + MCP
  • 📫 Open To: AI/ML Consulting, GenAI Engineering Roles & Research Collaborations

🛠️ Tech Arsenal

🤖 AI / ML / LLM Architecture

💻 Languages & Core

🌐 Backend, APIs & Databases

⚙️ DevOps, MLOps & Deployment

🧰 Collaboration & Productivity

📊 GitHub Analytics

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🎯 What I'm Working On

🤖 Autonomous Agents

Building multi-agent systems using LangGraph & MCP for real-world task automation.

🔍 Advanced RAG

Designing hybrid retrieval pipelines with re-ranking, query rewriting & semantic caching.

🚀 Production AI

Deploying LLM-powered apps with FastAPI, Docker, and CI/CD on cloud platforms.

📜 Featured Research

📄 IoT-Enhanced Machine Learning for Crop Disease Detection A peer-reviewed publication combining IoT sensor data and ML classification to enable early detection of crop diseases — bridging the gap between precision agriculture and applied AI.

🤝 Let's Connect & Collaborate

Open to discussing GenAI projects, agentic system design, research collaborations, and consulting opportunities.

LinkedIn Gmail GitHub

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⭐ "Building intelligent systems that don't just answer questions — they take action." ⭐

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  1. Langchain_RAG_chatbot Langchain_RAG_chatbot Public

    🤖 An interactive RAG (Retrieval-Augmented Generation) chatbot built with a decoupled FastAPI backend and Streamlit frontend. Leverages LangChain, ChromaDB, and OpenAI to enable conversations with y…

    Python 1

  2. DocumentClassification-extraction DocumentClassification-extraction Public

    End-to-end Document Classification and Information Extraction system using Deep Learning (CNN), OCR (Tesseract), and a Flask API. Classifies documents like ID cards, invoices, and resumes, and extr…

    Shell

  3. youtube_vid_analyzer youtube_vid_analyzer Public

    An AI-powered chatbot that takes a YouTube video URL, creates a searchable knowledge base from its transcript, and answers your questions about the content.

    Python

  4. Data_Extraction-NLP_Analysis_Project Data_Extraction-NLP_Analysis_Project Public

    This project demonstrates a complete pipeline for extracting textual data from various sources and performing Natural Language Processing (NLP) analysis to derive meaningful insights.

    Python 1