---
title: "Sanjai Damavarapu - Software Engineer in Hyderabad | Tal"
description: "Meet Sanjai Damavarapu, Software Engineer | AI Systems Engineer | RAG at Scale | Cloud-Native AI Infrastructure based in Hyderabad. Explore public work links including github."
image: "https://tal.club/meet/sanjai-damavarapu/share-image"
---

# Sanjai Damavarapu on Tal

## Headline

Software Engineer \| AI Systems Engineer \| RAG at Scale \| Cloud\-Native AI Infrastructure

## About

Backend Engineer with 3\.5\+ years of production experience, now building AI\-powered systems at scale\. At ConnxAI Inc, I architected RAG\-based diagnostic pipelines serving 9,000\+ retail locations, engineered real\-time AI platforms on AWS ECS with sub\-2\-second latency, and optimized automation execution by 88% through async redesign\. Core expertise: LLM integration, vector search \(FAISS, Pinecone\), agentic workflows, cloud\-native infrastructure \(AWS, Kubernetes, Docker, Terraform\), and backend systems \(FastAPI, Django, PostgreSQL\)\. Previously at Infor Global Solutions, delivering enterprise SaaS modules and AWS\-integrated CI/CD pipelines\. Transitioning deeper into core AI engineering model development, fine\-tuning, and agentic systems\. Open to Backend Engineer \(AI team\) and AI Systems Engineer roles\.

## Location

Hyderabad

## Work experience

Software Engineer at ConnX Inc\., Jul 2024 \- Present · 1 yr 11 mos, Hyderabad, Telangana, India, AI Network Troubleshooting System \- RAG at 9,000\+ Retail Locations Architected and deployed an AI\-powered diagnostic system using Retrieval\-Augmented Generation \(RAG\) with FAISS vector search and LLM reasoning\. On store outage detection, the system fetches live diagnostics from MIST AI and ServiceNow, queries a proprietary knowledge base, and surfaces resolution steps to operators in real time\. Scale: 9,000\+ retail locations Tech stack: LangChain, OpenAI API, FAISS, FastAPI, AWS ECS, Docker Impact: Reduced mean time to resolution \(MTTR\) for network outages, enabling self\-service troubleshooting for field operators Real\-Time Contact Center Monitoring Platform Engineered a centralized RESTful API layer consuming Webex CC API data Performance: Sub\-2\-second latency for real\-time agent monitoring Tech stack: FastAPI, AWS ECS, Docker, PostgreSQL, WebSockets Impact: Eliminated manual dashboard checks, enabling proactive contact center management Network Automation Optimization: Overhauled legacy automation scripts with an async\-first architecture using ThreadPoolExecutor \(20 workers\)\. Performance: 88% reduction in execution time Impact: Accelerated configuration rollouts and firmware updates across the entire fleet

Associate Software Engineer at Infor, Aug 2022 \- Nov 2023 · 1 yr 4 mos, Hyderabad, Telangana, India

Software Development Intern at Infor, Apr 2022 \- Aug 2022 · 5 mos, On\-site

## Education

Bachelor of Technology \- BTech, Computer Science, sree vidyanikethan engineering college

## Public links

- github: https://github\.com/marshmello765

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

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