Tamaghna Sarkar Karn2898

role: B.Tech ECE student & developer — Alipurduar Government Engineering and Management College (2023-2027)
focus: [AI & ML Engineering, MLOps, AI-Backend Engineering]
goal: AI/ML Engineer • MLOps Engineer • AI-Backend Engineer
experience: "ML Intern @ Unified Mentor — probabilistic decision models, AWS ML deployment"
status: "shipping agents, training models, breaking builds, fixing them again"

What I'm Building


🧩 Vertico — Full-Stack AI Coding Agent GitHub → LangGraph orchestration + Gemini LLM for refactor & tool-calling FastAPI + SQLModel + PostgreSQL + pgvector for session, chat, diff & RAG routes VS Code / JetBrains extensions · CI/CD on a self-hosted Oracle Cloud runner	🌌 AuroraQ — Multimodal LLM App GitHub → · Demo → Text, image & audio input across multi-turn conversations Bearer-token auth, rate limiting, file-size validation FastAPI, Google Gemini, SlowAPI, SQLite, Streamlit

🩺 RAG Medical Chatbot GitHub → +40–60% response relevance over baseline QA Embedding-retrieval-generation via Docker on Render/AWS, <1.5s latency	📚 RAG-Enhanced Language Model GitHub → Vector DB + fine-tuned LLM retrieval-augmented generation Optimized for low-latency, edge-deployable inference on Colab

🔧 Open Source — extra-org/extra PR #36 → Merged a self-contained OpenAI-default test-fixture system

Stack

python · c · c++ · typescript · fastapi · langgraph · langchain · huggingface · pytorch · streamlit · react · mlflow · fastmcp · postgresql · pgvector · sqlite · aws · oracle cloud · docker · celery · redis · git · vscode · pycharm · linux · jupyter · postman · colab

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Tamaghna Sarkar Karn2898

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