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sumitvish123-max/README.md

Hi, I'm Sumit 👋

AI/ML engineer (B.Tech in AI & ML, 2026) based in Noida, India. I build LLM applications that show their work: retrieval-grounded answers, page-level citations, and an honest "I don't know" when the source is silent.

🔭 Featured projects

Project What it does Stack
Grounded RAG Engine Answers questions strictly from uploaded PDFs, with file, page and snippet citations. Includes a retrieval gate, a strict refusal prompt and server-side refusal detection to reduce hallucination. Python, FastAPI, LangChain, ChromaDB, Groq
Story-Agent AI agent that generates interactive stories from user prompts. Python, JavaScript, LLM agents
VectorShift-AI-Automation GenAI orchestration and automation pipeline built for a VectorShift technical assessment. Python, VectorShift

🛠️ Skills

  • Languages: Python, JavaScript, Java, C++, SQL, HTML, CSS
  • AI / ML: LLMs, RAG, NLP, embeddings, vector search, prompt engineering, PyTorch
  • Frameworks & tools: FastAPI, LangChain, ChromaDB, Hugging Face, NumPy, Pandas, Node.js, React, Bootstrap, Git, GitHub

📫 Connect

LinkedIn · Email

Ask me about: RAG, LLM guardrails, FastAPI, DSA.

Pinned Loading

  1. Grounded-Rag-Engine Grounded-Rag-Engine Public

    Production-grade RAG system enforcing source grounding, page-level citations, and zero-hallucination document intelligence using FastAPI, ChromaDB, and Groq.

    Python 3

  2. Story-Agent Story-Agent Public

    AI agent that generates interactive stories from user prompts

    JavaScript 2

  3. VectorShift-AI-Automation VectorShift-AI-Automation Public

    An advanced GenAI orchestration pipeline and automation workflow built using VectorShift.

    Python 2