About

Software Engineer with 2+ years of experience designing and deploying production-ready AI systems using LLMs, RAG, and Multi-Agent workflows. Experienced in building scalable Python backend services, AI search pipelines, query understanding, and Knowledge Graph enrichment for Google Search.

Experience1

  1. Software Engineer

    Sep 2024 — Present

    GlobalLogic India — Onsite at Google

    Engineered Python-based query understanding services for Google AI Mode, leveraging NLP to decompose user queries and integrate structured retrieval for AI-driven search experiences. Built the Result Provider backend pipeline using Python and PostgreSQL, leading entity enrichment for Knowledge Panel and improving search accuracy. Designed a multi-agent AI validation framework, enhancing response quality and reducing hallucinations by approximately 40%. Orchestrated the transition to fully autonomous validation workflows, accelerating processing throughput by 300-500%.

Projects2

  • AI-Powered Presales Platform – Multi-Agent AI

    Built a multi-agent AI platform to process customer RFPs, extract requirements, generate GCP architecture recommendations, create BOQs/pricing, and automate Proposal/SOW generation.

    Open on github
    • Python
    • FastAPI
    • Groq/Llama
    • Gemini
    • GCP
    • Multi-Agent Workflow
  • Incoming Request Processing Workflow – Agentic AI

    Implemented an AI agent that classifies customer requests into 4 categories using structured LLM JSON output, replacing manual triage with automated, branch-specific remediation workflows.

    Open on github
    • Python
    • Streamlit
    • Groq API (Llama 3.3)
    • SQLite
    • Agentic AI

Education1

  • Master of Computer Applications

    2021 — 2024

    Maulana Azad National Institute of Technology (MANIT)

Certifications2

  • Azure AI Engineer Certified

  • Google Cloud Certified – Associate Cloud Engineer