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Uttam Shetty

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

Bengaluru

1+ year of work experience

VoizPanda
Jun 20251 yr 1 moPresent

• 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%.
VoizPanda
Mar 20251 yr 4 mosPresent

On-site

Oct 20233 mosDec 2023

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.

Uttam’s AI Stack

cursor
cursor
langchain
langchain
langgraph
langgraph
ollama
ollama

Education

East West college of engineering

Master of Computer Applications - MCA, Computer Science

East West college of engineering

20231 yr2024
Acharya

Bca, Computer Science

Acharya

20183 yrs2021

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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