Omkar Chittar Sunnyvale, CA

Software Engineer / AI EngineerBuilding production AI systems.

I build production AI systems with RAG, AI agents and tool calling, and LLM evaluation—backed by MLOps and full-stack software engineering.

From knowledge discovery to workflow automation, I deliver enterprise AI from requirements through deployment and ongoing reliability.

  • RAG
  • Agents
  • Evaluation
  • MLOps
  • Full-stack software

01 / Applied AI

Selected Work

All work

Full-stack applications and AI systems for estimating, knowledge discovery, and operational support.

NBCUniversal

Full-stack estimating & takeoff

A Python and React/TypeScript platform that combines document ingestion, OCR, spatial registration, and AI-assisted extraction.

  • Python
  • React/TypeScript
  • Automated testing
Explore full-stack estimating & takeoff

NBCUniversal

Legal retrieval & evaluation

Retrieval and evaluation infrastructure over 5,000+ pages of legal documents, with semantic search and automated citation validation.

  • Retrieval
  • Evaluation
  • Citation validation
Explore legal retrieval & evaluation

FOX Sports

AI-powered operational monitoring

An event-driven monitoring service that surfaces ML pipeline drift alerts, exceptions, and health insights in real time.

  • AWS Bedrock
  • Lambda
  • Slack API
Explore ai-powered operational monitoring

FOX Sports

LLM evaluation & serving

Evaluation and regression tooling that improves retrieval quality, alongside serving optimizations that reduce per-request cost.

  • Evaluation
  • Regression checks
  • MLOps
Explore llm evaluation & serving

02 / How I build

Engineering Capabilities

RAG & Agents

Ingestion, embeddings, vector retrieval, grounded generation, tool calling, and guardrails.

LangChain · LangGraph · FAISS · Bedrock

Evaluation & Reliability

Golden sets, retrieval checks, regression harnesses, and prompt and embedding experiments.

Ragas · Retrieval evaluation · Quality regression

MLOps & Deployment

Deployment workflows, access controls, logging, monitoring, and serving cost optimization.

MLflow · Docker · CI/CD · AWS · GCP

Full-Stack & Integrations

Python backends, React/TypeScript frontends, REST APIs, and integrations with enterprise data and workflows.

Python · React · TypeScript · Flask · REST APIs

03 / Delivery

Experience & Impact

Nov 2025 — Present

Lead Software Engineer

NBCUniversal · Universal Creative and UDX

Led delivery of 10 products from concept into production across 6 business functions. Work spans a full-stack estimating platform, contract lifecycle software, retrieval and evaluation infrastructure, and cost intelligence.

Estimating and takeoff time reduced from 6 hours to 30 minutes · Approximately 900 automated tests backing the platform.

Aug 2024 — Nov 2025

AI Engineer

FOX Sports

Built AI solutions for media post-production: a Slack agent for ML pipeline monitoring, a natural-language-to-SQL assistant, evaluation tooling, and automated metadata extraction.

35% less issue-resolution time with the Slack agent · 40% less ad-hoc reporting effort with the conversational assistant.

View full experience

04 / Background

About

I'm a software engineer focused on the work around the model: connecting it to the right data, evaluating its behavior, and supporting it in production. Earlier work at Sakar Robotics and a Master's in Robotics at the University of Maryland built my foundation in machine learning, computer vision, and software engineering.

Omkar Chittar

05 / Get in touch

Contact

Let's talk about useful AI systems and the software that makes them work.

ochittar@gmail.com