---
title: "Nagendra Varma - Full Stack Developer in Bhimavaram | Tal"
description: "Meet Nagendra Varma, Building production AI systems · LangGraph Agents · RAG Pipelines · Voice AI · Open to AI Eng roles based in Bhimavaram."
image: "https://tal.club/meet/nagendra-3/share-image"
---

# Nagendra Varma on Tal

## Headline

Building production AI systems · LangGraph Agents · RAG Pipelines · Voice AI · Open to AI Eng roles

## About

I build AI systems that don't just demo well — they work in production\. Currently at TCS as a Full Stack Developer, but my real obsession is AI engineering\. I've built a stateful agentic RAG system with LangGraph handling multi\-hop health insurance queries — combining vector search, BM25, a knowledge graph of 10K\+ edges, and semantic caching to get sub\-millisecond response times\. I've also built FlowTalk, a real\-time voice AI with a full STT → LLM → TTS pipeline running over WebSockets with under\-the\-hood concurrency in Go\. On the backend, I work across \.NET, Go, Python and have shipped things like ETL pipelines into Amazon Redshift, Redis caching layers, and RabbitMQ\-based microservices at scale\. What I'm looking for: AI Engineer or Backend\-heavy AI roles at product startups where I can own systems end\-to\-end — not just integrate APIs, but architect and ship the full thing\. If you're building something interesting in AI/healthtech/infra — let's talk\. manthenanagendra@gmail\.com

## Location

Bhimavaram

## Work experience

Full Stack Developer at Tata Consultancy Services, Aug 2024 \- Present · 2 yrs, Hyderabad, Telangana, India

Full Stack Engineer at Tata Consultancy Services, Aug 2024 \- Present · 2 yrs, Engineered an Agentic Retrieval\-Augmented Generation \(RAG\) pipeline using LangGraph and FastAPI to automate application lifecycle management and data quality resolutions for the GEAR team, replacing manual human\-in\-the\-loop workflows\. Extracted, parsed, and vectorized enterprise data from 5,000\+ ServiceNow requests and 120\+ Confluence pages using Docling and ChromaDB to build a centralized semantic knowledge base\. Automated query resolutions for internal application service owners, reducing overall manual IT support ticket flow by 60%\. Designed and deployed REST APIs in C\#/\.NET 8 on AWS EC2, serving enterprise\-scale workloads; introduced Redis caching to reduce average response latency by ∼40%\. Diagnosed OLTP query bottlenecks by designing an ETL pipeline to incrementally sync ServiceNow data into a columnar data warehouse, cutting dashboard query time by ∼60%\. Integrated RabbitMQ for asynchronous inter\-service messaging, decoupling 3\+ microservices and improving fault tolerance\.

## Education

1, Electronics and communication engineering, National Institute of Technology, Andhra Pradesh

Bachelor of Technology, Electrical, Electronics and Communications Engineering, National Institute of Technology, Andhra Pradesh

[View the original profile](https://tal.club/meet/nagendra-3)

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