Selected work
Things I’ve followed through.
A collection of products and experiments across AI operations, computer vision, full-stack software, and data science.
AI incident response · Featured
StackPilot
An AI-powered on-call copilot that investigates alerts, connects evidence across code and observability tools, and drafts proposed fixes as pull requests.
- 100+ engineers
- 1,000+ bugs fixed
- 15-minute average resolution
Computer vision
DroneSeek
An autonomous facial-recognition drone built with Tello, OpenCV, Pandas, Pygame, and Flask.
Full-stack product
Texties
An SMS-based note-taking app built with Next.js, Flask, PostgreSQL, SQLAlchemy, and Twilio.
iOS · MakeHarvard winner
EV2EV
A peer-to-peer approach to electric-vehicle charging, created as the winning MakeHarvard 2019 project.
Mobile product
FlashPass
A Flutter concept for a universal, location-aware car-wash membership and automated arrival experience.
Data science
Virus Growth Patterns
An R-based study modeling early COVID-19 growth against international travel patterns.
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