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About

AI Engineer with hands-on experience building retrieval-augmented generation (RAG) pipelines, agentic LLM workflows, and production-grade AI deployments. Currently contribute to training and evaluation workflows for Amazon Nova foundation models at Keywords Studios, reviewing 2,000+ model outputs monthly for alignment and safety. Skilled at translating LLM/agentic research concepts into deployed, API-accessible systems using LangChain, LangGraph, and FastAPI.

Experience1

  1. AI Research Associate

    Jan 2026 — Jul 2026

    Keywords Studios

    Contributed to training and evaluation workflows for Amazon Nova foundation models by curating and validating datasets for LLM alignment and performance. Reviewed over 2,000 model outputs monthly providing feedback improving accuracy, safety, and instruction-following. Maintained 80% inter-annotator consistency and supported iterative model improvements through error analysis and collaboration with research and engineering teams.

Projects2

  • AI Legal Assistant

    Built a RAG-based legal assistant over a corpus of 50,000+ Supreme Court judgments enabling grounded, citation-backed legal question answering. Engineered a large-scale document preprocessing pipeline (chunking + embedding generation) with AstraDB for vector storage, cutting retrieval latency to 1-2 seconds per query. Orchestrated retrieval, context assembly, and response generation with LangGraph achieving 75% citation accuracy on held-out test set. Deployed via FastAPI exposing scalable real-time API access.

    • LangChain
    • LangGraph
    • LangSmith
    • Groq
    • FastAPI
    • RAG
    • AstraDB

  • Resume Analyzer

    Built an AI resume analyser that scores resumes against job descriptions for ATS compatibility, improving keyword match visibility for 20+ test resumes. Engineered document processing pipeline for resume/JD extraction enabling skill matching and gap identification with 80% parsing accuracy. Orchestrated parsing, scoring, and feedback with LangGraph and Groq reducing end-to-end analysis time to under 10-15 seconds per resume. Deployed via FastAPI with real-time endpoints for evaluation, skill-gap analysis, and job-fit scoring.

    • LangChain
    • LangGraph
    • FastAPI
    • Groq
    • NLP
    • OpenAI
    • Gemini

Education2

  • Major

    2024 — 2026

    Indian Institute of Technology (IIT), Ropar

    Artificial Intelligence

  • B. Tech, Computer Science & Engineering (AI/ML)

    2022 — 2026

    DAV Institute of Engineering & Technology (DAVIET), Jalandhar

Certifications2

  • Oracle Certified Foundations Associate: Agentic AI

    2026

    Oracle

  • NPTEL Cloud Computing

    IIT