---
title: "Lalit Sharma - Business Technology Soultions Associate in Pune City | Tal"
description: "Meet Lalit Sharma, Backend Developer | AI Engineer @ZS · Backend, Distributed Systems, AI/ML · IIT Dhanbad’25 based in Pune City. AI stack includes claude code, codex, and github copilot. Explore public work links including github and leetcode."
image: "https://tal.club/meet/lalit-sharma-2/share-image"
---

# Lalit Sharma on Tal

## Headline

Backend Developer \| AI Engineer @ZS · Backend, Distributed Systems, AI/ML · IIT Dhanbad’25

## About

I like building systems that have to actually work\. The kind where someone is waiting on the other end of an API call, and a 200ms delay is the difference between a good day and a bug ticket\. My path into software engineering wasn't the obvious one\. I studied Electrical Engineering at IIT Dhanbad, but somewhere between a data structures assignment and my first real backend project, I realized I'd rather spend my evenings debugging a caching layer than solving circuit problems\. So I leaned in\. Competitive programming, side projects, reading other people's code on GitHub at 1am\. By the time I graduated, I wasn't an EE who could code\. I was a backend engineer who happened to have an EE degree\. At ZS, I get to do the thing I find genuinely fun: making search and AI systems faster and smarter\. I've shipped Java Spring Boot microservices powering hybrid semantic search across 5M\+ biomedical records, redesigned a RAG pipeline into an agentic LangGraph architecture that cut latency by 40%, and built an MCP server that other teams now plug into for their own RAG work\. On the side, I built QuillFlow, a production\-grade agentic RAG system with hybrid retrieval, multi\-tenant auth, and a two\-tier semantic cache that cuts repeat query latency by 10x\. It's the project I point to when someone asks how I actually think about building things end\-to\-end\. What I work with day\-to\-day: Java, Python, Spring Boot, FastAPI, LangGraph, GraphQL, PostgreSQL, Redis, Elasticsearch, Qdrant, Docker, Kubernetes, GitLab CI/CD, and a healthy obsession with system design\. I'm always up for a conversation about backend architecture, agentic systems, or how to make RAG pipelines stop hallucinating\. If you're building something interesting in those spaces, or hiring for a team that is, my inbox is open\.

## Location

Pune City

## AI stack

claude code

codex

github copilot

langchain

langgraph

langsmith

## Work experience

Business Technology Soultions Associate at ZS, Jun 2025 \- Present · 1 yr 5 mos, Pune District, \- Built a PoC uniting Google Agent Space, AWS Bedrock, and Databricks Agents to deliver enterprise Q&A and insights from structured data, advancing GenAI\-powered content search for next‑gen AI initiatives\. \- Transformed a basic RAG pipeline into a robust LangGraph\-powered retrieval system, leveraging AI agents and parallelized queries to cut response times by \~5 seconds and deliver concise, high\-quality summaries\.

## Education

Bachelor of Technology \- BTech, Electrical Engineering, Indian Institute of Technology \(Indian School of Mines\), Dhanbad

## Public links

- github: https://github\.com/lalitsharma250
- leetcode: https://leetcode\.com/lalitsharma250

[View the original profile](https://tal.club/meet/lalit-sharma-2)

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