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About

Final-year B.Tech Computer Science student with practical experience building AI-powered applications using Large Language Models (LLMs), LangChain, Retrieval-Augmented Generation (RAG), and multi-agent AI pipelines. Proficient in Python and prompt engineering with hands-on project experience in FAISS vector stores, Hugging Face models, and OpenAI API.

Projects3

  • LangChain RAG Chat

    Built a production-ready Retrieval-Augmented Generation (RAG) chatbot using LangChain's ConversationalRetrievalChain backed by Meta's Llama 3.1-8B-Instruct model via Hugging Face Inference API.

    • Python
    • LangChain
    • Hugging Face
    • FAISS
    • Llama 3.1
    • Streamlit

  • AI Deterministic UI Generator

    Designed and built a full-stack AI application that converts natural language prompts into structured, deterministic, production-ready UI components using a multi-stage AI agent pipeline.

    • Node.js
    • Express.js
    • Next.js
    • OpenAI API
    • Prompt Engineering

  • Seva-Kart

    Built a full-stack web platform connecting users with local service providers (plumbers, electricians, cleaners) with service discovery, booking, and management features.

    • TypeScript
    • Next.js
    • REST APIs

Education1

  • Bachelor of Technology (B.Tech)

    2023 — 2027

    Sanjeev Agrawal Global Education (SAGE)

    Computer Science