Jorge Diaz Chao

I am a senior Physics and Computer Science student at the University of California, Berkeley. I work at the intersection of Computer Vision and Machine Learning, fields I love for their deep connection to intelligence and their transformative potential.

I am particularly interested in models that discover structure directly from nature and building tools smart and intuitive enough to blend into everyday life as natural extensions of ourselves.

Featured

2os by Buzzer — A suite of ML methods for the future of spatial computing I/O. Optimizing architectures and training for fast adaptation to novel gestures for seamless interaction with the environment and for online, high-frequency typing inference.

FitOut — An AI-powered virtual wardrobe that understands your unique style, delivering personalized, context-aware outfit suggestions and actionable wardrobe insights for smarter shopping and sustainable fashion.

Projects

Quick MAML — A lightweight PyTorch Model-Agnostic Meta-Learning (MAML) training framework enabling intuitive experimentation and quick prototyping.

[Code]

Apex Flight — Advanced model rocketry and flight simulation. Quaternion-based guidance for thrust vector control, non-pyro cargo and recovery modules, and custom avionics. A life changer.

[Film] [Docs]