---
title: "Srirangam Umesh Chandra - Artificial Intelligence Engineer in Warangal | Tal"
description: "Meet Srirangam Umesh Chandra, building with AI before it builds without me :) based in Warangal. AI stack includes antigravity and codex."
image: "https://tal.club/meet/srirangam-umesh-chandra/share-image"
---

# Srirangam Umesh Chandra on Tal

## Headline

building with AI before it builds without me :\)

## About

I build AI systems that work in production — not just notebooks\. I'm a final\-year CS undergrad at IIIT Sri City, working across the full AI/ML stack: from statistical experiment design and classical ML to LLM orchestration, RAG pipelines, and agentic systems\. My current work spans two tracks simultaneously — industry and research\. At Silo Fortune, I engineer distributed forecasting pipelines on AWS SageMaker across 5,000\+ market series, handling datasets with 80% missing values and serving inference at sub\-500ms latency via Lambda\. I own the MLOps cycle end\-to\-end — preprocessing, experiment design, retraining pipelines, and CI/CD across 28 Indian state markets\. In parallel, I'm doing undergraduate research in computational pathology — building a Medical VQA system on PathVQA, one of the hardest open\-domain medical benchmarks\. Using a Unified T5 framework with CrossModal Fusion and PathGenCLIP embeddings, we hit 85\.4% binary accuracy on TCGA validation sets, exceeding zero\-shot baselines by 5\.2%\. On the agentic side, I've built LangGraph DAGs with self\-correcting validation gates and embedding\-cached parallel execution — cutting latency by 69\.6%\. I work with the full modern AI stack: LangChain, LangGraph, LangSmith, HuggingFace, ChromaDB, Qdrant, Pinecone, Groq, Ollama, and the OpenAI and Anthropic APIs\. Outside of work, I led the AI for Society domain at Epoch — IIIT Sri City's AIML club — organizing international hackathons and mentoring students into their first ML projects\. I'm also a LeetCode 1941\-rated competitive programmer with 500\+ problems solved\. Visit my profiles: \- Portfolio : https://srirangamuc\.tech \- GitHub : https://github\.com/srirangamuc \- LeetCode : https://leetcode\.com/u/xinirs \- CodeChef : https://www\.codechef\.com/users/xinirs \- Codeforces : https://codeforces\.com/profile/xinirs

## Location

Warangal

## AI stack

antigravity

codex

## Work experience

Artificial Intelligence Engineer at Techolution, May 2026 \- Present · 4 mos, Hyderabad

Data Science Intern at Silo Fortune Pvt Ltd\- Gau Sampurna, Aug 2025 \- Apr 2026 · 9 mos, Bengaluru, Voice AI & Agentic Systems Built a production Voice AI Agent platform enabling hands\-free conversational interaction with complex data systems — integrating ElevenLabs for real\-time TTS/STT and WebSockets for bidirectional low\-latency voice streaming\. Achieved end\-to\-end voice query response latency of 400–600ms through asynchronous FastAPI processing and optimized WebSocket streaming pipelines\. Designed a modular architecture with Docker containerization, enabling extensible integration of new AI services and data sources without core system changes\. Backend & Systems Architected the real\-time orchestration layer for Gau Sampurna, managing low\-latency WebSocket connections between frontend clients and LiveKit instances\. Engineered high\-performance REST APIs achieving a 14x latency reduction \(93\.6%\) through multi\-level Redis caching and optimized execution plans\. Spearheading containerized service design for AWS ECS with CI/CD integration for production reliability\. ML & Data Science Built a distributed time\-series forecasting pipeline \(XGBoost\) on AWS SageMaker across 5,000\+ market series, served via Lambda at sub\-500ms inference latency\. Increased usable training data by 4x through preprocessing strategy for datasets with 80% missing values — improving model accuracy to 21\.6% MAPE\. Designed end\-to\-end MLOps pipelines automating bi\-monthly retraining, evaluation, and deployment across 28 Indian state markets\. Stack: Python, FastAPI, Go, ElevenLabs, WebSockets, AWS \(SageMaker, ECS, Lambda, S3\), Redis, XGBoost, Docker, LiveKit, CI/CD

SDE Intern at LifeCykul, May 2025 \- Jul 2025 · 3 mos, Sricity

Generative AI Intern at Stealth AI Startup, Nov 2024 \- Jan 2025 · 3 mos, India, Built RAG pipeline with fine\-tuned T5 achieving 70%\+ accuracy\. Designed chunking, embeddings, retrieval pipeline\. Integrated into backend APIs for enterprise automation\.

Lead \- AI for Society at Epoch, Jun 2024 \- May 2025 · 1 yr, India, Organized 2 international ML hackathons with 500\+ participants Evaluated 200\+ projects as a judge across Machine Learning and Deep Learning Mentored 10\+ students — guided first ML projects and hackathon submissions

## Education

Bachelor's degree, Computer Science, Indian Institute of Information Technology, SriCity

High School Diploma, Science, Government Junior College Hanamkonda

[View the original profile](https://tal.club/meet/srirangam-umesh-chandra)

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