---
title: "Keshu Shukla - AI Engineer in Delhi | Tal"
description: "Meet Keshu Shukla, Generative AI Engineer at KPMG | Agentic AI, RAG, LangGraph, FastAPI | M.Tech @ DTU based in Delhi. AI stack includes claude code, github copilot, and langchain."
image: "https://tal.club/meet/keshu-shukla/share-image"
---

# Keshu Shukla on Tal

## 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

[View the original profile](https://tal.club/meet/keshu-shukla)

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