RD

Raghav Devgan

AI/ML Engineer · Generative AI, RAG, and Multi-Agent Systems

Jalandhar, Punjab, India

@raghav_devgan

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Looking for jobs Looking for internships Open to relocating

🎓 Bachelor of Technology (B.Tech.) in Artificial Intelligence & Data Science at CT Institute of Technology and Research, Jalandhar · Graduating 2027

About

AI/ML Engineer with hands-on experience building Generative AI, RAG, and multi-agent systems, along with machine learning and data science solutions. Skilled in Python, LangChain, LangGraph, FastAPI, vector databases, and production-oriented LLM workflows.

Experience

  • AI Engineer Intern
    Infosys Springboard
    Aug 2025 – Nov 2025
  • Data Science Trainee
    Microsoft
    May 2025 – Jul 2025

Education

  • Bachelor of Technology (B.Tech.) in Artificial Intelligence & Data Science
    CT Institute of Technology and Research, Jalandhar
    Artificial Intelligence & Data Science · Aug 2023 – May 2027

Skills

Projects

  • MeetTube Intelligence – Audio/Video RAG System
    Python, LangGraph, LangChain, Groq, Whisper, ChromaDB, FlashRank, Streamlit, RAGAS, LangSmith

    Built a production-grade audio intelligence platform that converts YouTube videos and meeting recordings into a searchable knowledge base. Designed a hybrid RAG pipeline and optimized audio ingestion for efficient transcription and retrieval.

  • Trip Planning Agentic System
    Python, LangChain, LangGraph, Streamlit, PostgreSQL, MCP, Groq LLM, LangSmith, Render

    Developed a production-ready multi-agent travel planning system orchestrating Flight, Hotel, Weather, Budget, and Itinerary agents. Integrated external APIs, human-in-the-loop workflows, and checkpointing for interactive and stateful execution.

  • Interviora – Interview Practice Platform
    Python, FastAPI, LangGraph, LangChain, Groq, Pydantic, React, LangSmith, Render

    Built a full-stack agentic AI interview platform to analyze job descriptions, generate interview questions, conduct voice-based interviews, and deliver structured AI feedback. Implemented multi-agent workflows with schema-validated outputs and an LLM-as-a-Judge evaluation pipeline.

Courses & certifications

  • Complete Data Science, Machine Learning, Deep Learning & NLP · Udemy
  • Artificial Intelligence Primer · Infosys Springboard
  • LangChain Essentials · LangChain Academy
  • LangGraph Essentials · LangChain Academy

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