Srirangam Umesh Chandra profile photo 1 on Tal

Srirangam Umesh Chandra

building with AI before it builds without me :)

Warangal

2+ years of work experience

Techolution
May 20264 mosPresent

Hyderabad

Silo Fortune Pvt Ltd- Gau Sampurna
Aug 20259 mosApr 2026

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
LifeCykul
May 20253 mosJul 2025

Sricity

Stealth AI Startup
Nov 20243 mosJan 2025

India

Built RAG pipeline with fine-tuned T5 achieving 70%+ accuracy. Designed chunking, embeddings, retrieval pipeline. Integrated into backend APIs for enterprise automation.
Epoch
Jun 20241 yrMay 2025

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

Srirangam’s AI Stack

antigravity
antigravity
codex
codex

Education

Indian Institute of Information Technology, SriCity

Bachelor's degree, Computer Science

Indian Institute of Information Technology, SriCity

20224 yrs2026

High School Diploma, Science

Government Junior College Hanamkonda

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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