---
title: "Uttam Shetty - Software Engineer I in Bengaluru | Tal"
description: "Meet Uttam Shetty, Full Stack Engineer | AI Integrations | Python . NodeJS · Next.js · LangGraph · AWS based in Bengaluru. AI stack includes cursor, langchain, and langgraph."
image: "https://tal.club/meet/uttam/share-image"
---

# Uttam Shetty on Tal

## Headline

Full Stack Engineer \| AI Integrations \| Python \. NodeJS · Next\.js · LangGraph · AWS

## About

Full Stack Engineer with 2\+ year of production experience designing and shipping scalable, AI\-powered microservices\. Passionate about building systems that perform at scale — from event\-driven pipelines to real\-time AI voice applications\. Currently at voizPanda, I own the architecture of a production system serving 300 concurrent users with 99\.9% uptime, integrating LangGraph, OpenAI Whisper, and ElevenLabs TTS\. Reduced API latency by 25% via Redis caching, cut async task processing time by 40% with RabbitMQ, and lowered infra costs by 30% through Docker \+ AWS auto\-scaling\. Languages: JavaScript, TypeScript, SQL Backend: Node\.js, NestJS, Express\.js, GraphQL, REST APIs Frontend: React\.js, Next\.js, Redux, Tailwind CSS, Shadcn UI AI / LLM: LangGraph, LangChain, OpenAI, Whisper, ElevenLabs, MCP Servers Databases: PostgreSQL, MongoDB, Redis, Supabase, Firebase Infra & DevOps: Docker, AWS, Kubernetes, Nginx, RabbitMQ, GitHub Actions, Jenkins Microservices · REST APIs · Event\-driven Architecture · CI/CD · System Design · Agile · Full Stack Development · AI Integration · Backend Engineering · Cloud Infrastructure · Real\-time Systems · API Development Open to full\-stack, backend, and AI engineering roles in Bengaluru \(on\-site / hybrid\) or remote\.

## Location

Bengaluru

## AI stack

cursor

langchain

langgraph

ollama

## Work experience

Software Engineer I at VoizPanda, Jun 2025 \- Present · 1 yr 1 mo, • Architected production\-grade AI voice pipeline \(LangGraph, Whisper, ElevenLabs\) serving 300 concurrent users with 99\.9% uptime and 98% speech recognition accuracy\. • Integrated OpenAI Whisper for real\-time STT; reduced API response latency by 25% via Redis caching and query optimization\. • Designed event\-driven microservices with RabbitMQ, cutting async task processing time by 40% with real\-time notifications under 100ms\. • Containerized all services on AWS with Docker auto\-scaling, reducing infrastructure costs by 30%\.

Software Engineer Intern at VoizPanda, Mar 2025 \- Present · 1 yr 4 mos, On\-site

Ai/Ml intern at Compsoft technology Solutions group Inc, Oct 2023 \- Dec 2023 · 3 mos, Bengaluru, Karnataka, India, Developed and fine\-tuned machine learning models using TensorFlow and PyTorch to address predictive analytics challenges, enhancing model performance\-based on real\-world data\. Collaborated with cross\-functional teams to preprocess and analyze datasets, ensuring high\-quality input data for machine learning models, which contributed to a 95% accuracy rate in predictions\. Conducted model evaluations and optimizations, reducing training time and improving overall system efficiency throughout a 5\-week project at CompsoftTechnologies\.

## Education

Master of Computer Applications \- MCA, Computer Science, East West college of engineering

Bca, Computer Science, Acharya

[View the original profile](https://tal.club/meet/uttam)

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