👋 Hi, I'm Tonumay Bhattacharya

🚀 Generative AI Engineer | LLM • RAG • Agentic AI | FastAPI • Docker

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⚡ Start Here (60-sec overview)

• 🔥 Best Project → https://github.com/tonumayworkspace-creator/self-improving-rag
• 🤖 Agent System → https://github.com/tonumayworkspace-creator/agentic-ai-copilot
• 🧠 Chatbot → https://github.com/tonumayworkspace-creator/llm-chatbot-production

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🧠 Profile Summary

+ 1+ year experience building production-grade LLM systems
+ Improved model accuracy by +14% and reduced false positives by 15%
+ Increased RAG answer relevance by 30–40%
+ Focused on real-world GenAI systems with deployment & evaluation

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🧠 Core Expertise

+ Generative AI Systems (LLM • RAG • Agentic AI)
+ Production AI Pipelines (Design → Deploy → Evaluate)
+ Real-time AI APIs (FastAPI • Streaming • Multi-user)
+ Retrieval Optimization (Hybrid Search • Reranking • Chunking)

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⚡ GenAI & LLM Stack

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🛠️ Frameworks & Tools

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🧩 Data, ML & Vector Systems

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🔌 Backend & Deployment

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🧪 Evaluation & Optimization

+ LLM Evaluation (Faithfulness • Grounding • Relevance)
+ Query Rewriting & Prompt Optimization
+ Hybrid Search (BM25 + Vector Retrieval)
+ Latency Optimization & Response Quality

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🎥 Demo + 📊 Metrics + 🧠 Architecture

🎥 Demo

• 🌐 https://fraud-detection-real-time-system-gwktjgrwbmo64b5npp8sty.streamlit.app/
• 🌐 https://ai-search-recommendation-system-zpn7katjw7yysahnvmxswn.streamlit.app/
• 🌐 https://credit-risk-decision-system-zsprnoewr5ommc52bxs6cl.streamlit.app/
• 🌐 https://enterprise-automation-platform-mfdvtirez8stjgldqg2sl7.streamlit.app/
• 🌐 https://hr-analytics-attrition-chatbot-34foqrceukpgeg8z3ms8vm.streamlit.app/
• 🌐 https://llm-chatbot-appuction-sr4pj9fpzsramhacgumx4y.streamlit.app/
• 🌐 https://neon-explainable-diabetes-ai-qeii7h5wwvtuz7a9rctspu.streamlit.app/
• 🌐 https://retail-sales-performance-dpvgczyepvjsrdjdoytnvu.streamlit.app/
• 🌐 https://sales-revenue-forecasting-with-business-decision-insights-ne7m.streamlit.app/
• 🌐 https://htjxdqlribwx2panzdwpzn.streamlit.app/
• 🌐 https://blinkitapp-skfc23c3tfakjxtzscswk6.streamlit.app/

📊 Key Metrics

🧠 Architecture

User → Frontend → FastAPI → LangChain/LangGraph → Retriever → LLM → Response → Evaluation

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🚀 Featured Projects

• 🔥 Self-Improving RAG
• 🤖 Agentic AI Copilot
• 🧠 LLM Chatbot
• 📄 Enterprise RAG

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📊 Engineering Impact Dashboard

🧠 LLM & RAG Performance 📈 RAG Answer Relevance: +30–40% 🎯 Retrieval Precision: +20% 🔍 Hybrid Search (BM25 + Vector) 🧪 Evaluation: Faithfulness + Grounding	⚡ ML Performance 📊 Accuracy: 68% → 82% (+14%) 🚫 False Positives: ↓ 15% 🧠 Feature Engineering Improvements 📉 Metrics: F1 • AUC
🚀 System Performance ⚡ 50+ concurrent users ⏱️ Optimized latency 🔌 FastAPI + Docker 🔄 Real-time streaming	🤖 Agent Automation 🔁 Manual effort ↓ ~60% 🧠 Multi-step reasoning agents 🔗 Tool integrations ⚙️ Planner → Executor workflow

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🧪 LLM Evaluation Approach

• ✔ Faithfulness & Grounding (RAG validation)
• ✔ Retrieval Recall & Precision
• ✔ Latency monitoring (p50 / p95)
• ✔ Hallucination reduction
• ✔ Continuous evaluation (LangSmith)

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🏗️ System Design Snapshot

User → Frontend → FastAPI → Orchestrator (LangChain / LangGraph)
     → Retriever (FAISS + BM25) → LLM (GPT-4o / Llama-3)
     → Response → Evaluation → Logs / Metrics

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💼 Experience

• AI Intern – SkillInfytech (2026–Present)
• Data Science Intern – Codtech (+14% accuracy improvement)
• ML Intern – iStudio (75–82% model accuracy)

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🧩 Engineering Strengths

✔ Production-ready AI systems
✔ LLM + RAG + Agents
✔ API-first backend
✔ Evaluation-driven development

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🏆 Achievements & Activity

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💼 Experience

• AI Intern – SkillInfytech (2026–Present)
• Data Science Intern – Codtech (+14% accuracy improvement)
• ML Intern – iStudio (75–82% model accuracy)

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🧩 Engineering Strengths

✔ Production-ready AI systems
✔ LLM + RAG + Agents
✔ API-first backend
✔ Evaluation-driven development

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📫 Connect

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🐍 Contribution Graph