Headline

Generative AI Engineer at KPMG | Agentic AI, RAG, LangGraph, FastAPI | M.Tech @ DTU

About

Currently working as an AI Engineer at KPMG, where I’ve been building Generative AI systems involving RAG pipelines, multi-agent workflows, and LLM-powered backend applications using technologies like LangGraph, FastAPI, PostgreSQL, and vector databases. Alongside this, I am currently puursuing M.Tech in Information Technology from Delhi Technological University (DTU). Over the past few months, I’ve worked on retrieval workflows, semantic search, embedding pipelines, prompt orchestration, and AI-powered evaluation systems. I enjoy building AI applications that solve actual workflow and operational problems rather than just demo-style use cases. Lately, I’ve been particularly interested in how retrieval quality, orchestration logic, and backend infrastructure come together to make AI systems more reliable and usable in real-world scenarios. Currently exploring: • Agentic AI workflows • Retrieval-Augmented Generation (RAG) • Backend AI infrastructure

Location

Delhi

AI stack

claude code

github copilot

langchain

langgraph

n8n

hermesagent

Work experience

AI Engineer at KPMG India, Jul 2026 - Present · 3 mo, Bengaluru · Hybrid

AI Engineer Intern at KPMG India, Jan 2026 - Jun 2026 · 5 mo, Bengaluru · Hybrid, Working on production-oriented Generative AI systems involving RAG pipelines, agentic workflows, and LLM-powered automation systems for enterprise use cases. • Built multi-document retrieval workflows using LangGraph with semantic retrieval, embedding pipelines, prompt orchestration, and vector-based context grounding. • Developed AI agent workflows and backend APIs using FastAPI, PostgreSQL, Python, and vector databases for scalable AI inference and orchestration systems. • Worked on document chunking, retrieval optimization, prompt workflows, and response grounding to improve relevance and reduce hallucinations in generated outputs. • Contributed to AI-powered evaluation and reasoning workflows involving document analysis, transcript processing, and structured multi-step AI interactions.

Education

Master of Technology - MTech, Information Technology, Delhi Technological University (Formerly DCE)

Bachelor of Technology - BTech, Information Technology, Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow