Designed, created, and managed code for Apple's applications and systems.
Maintained and improved internal tools to help other developers.
Produced efficient, elegant code and improved existing software through troubleshooting and
debugging.
Participated in multiple rounds of AQS testing to verify CreateML was ready to deploy on the latest
OS.
Projects
Zircon
Architected and deployed a blob storage server using Docker, Kubernetes, and Rio,
streamlining internal dataset management for Machine Learning Engineers.
Established a dedicated Kubernetes staging environment for integration testing,
enhancing deployment reliability and reducing production issues.
Developed Rio pipelines for automated alerts on failed integration tests, improving team
response time and preventing breaking changes from reaching production.
CreateML On-Device Tester App
Upgraded and optimized an iOS application for testing on-device machine learning model
training, ensuring compatibility from iOS 15 to iOS 18.
Enabled continuous verification of on-device training capabilities for each beta release
of iOS, enhancing quality assurance efficiency.
MLS Stat Tracker
Designed and prototyped a series of machine learning models for real-time statistical
tracking of live MLS games.
Leveraged action classifiers and object detection to accurately monitor and record game
events.