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
Software Engineer
Sep 2024 — PresentGlobalLogic 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 — 2024Maulana Azad National Institute of Technology (MANIT)
Certifications2
Azure AI Engineer Certified
Google Cloud Certified – Associate Cloud Engineer