SW QA Engineer · ML Models · Robotics · Hardware/Software/Network
SW QA Engineer at Meta. I validate AI models for robotics, testing software, hardware, and network together as one system, and recovering models from failure states to keep training pipelines running.
Previously at OpenAI, I trained and validated imitation-learning models for robots, executing physical and system-level recoveries to restore robots after failures during training cycles. At Apple, I completed internal coursework on machine learning and worked on ML data validation for training pipelines.
I use AI coding assistants daily (Claude Code, Grok, Gemini) and have hands-on experience with prompt engineering and AI-assisted testing.
I also build on the side. I completed a full-stack bootcamp and shipped a backend from scratch: REST API, auth, database, tests.
Side project
Real-time audio visualizer where users log in, connect a microphone, and watch WebGL shaders respond to live audio. Sole backend engineer: built the Node.js/Express/MongoDB API with JWT auth, search, GridFS, and tests.
Open to interesting conversations and opportunities.