Projects

Selected production AI work, with earlier projects in robotics and computer vision.

Selected Work

Highlights from my work at NBCUniversal and FOX Sports.

NBCUniversal

Full-stack estimating & takeoff

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

  • Independently designed and built the platform, including a geometry-aware computation engine.
  • Cut takeoff time from 6 hours to 30 minutes, backed by approximately 900 automated tests.
  • Python
  • React/TypeScript
  • Automated testing

NBCUniversal

Legal retrieval & evaluation

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

  • Combined semantic search, automated citation validation, and deterministic checks.
  • Achieved full citation coverage at an approximately 2% review-error rate.
  • Retrieval
  • Evaluation
  • Citation validation

FOX Sports

AI-powered operational monitoring

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

  • Built the service using AWS Bedrock, Lambda, and the Slack API.
  • Reduced issue-resolution time by 35%.
  • AWS Bedrock
  • Lambda
  • Slack API

FOX Sports

LLM evaluation & serving

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

  • Built an automated harness using synthetic queries, oracle sets, and precision@k; improved top-5 retrieval by 12 percentage points.
  • Used response caching and lightweight request routing on Databricks to reduce per-request serving cost by 28% without quality loss.
  • Evaluation
  • Regression checks
  • MLOps

Foundations in perception & autonomy

Earlier Work

Robotics and computer vision projects that shaped my approach to machine learning and engineering.

Browse earlier repositories