Dustin Ray is a Machine Learning Researcher based in Seattle with five years of experience who combines academic work at the University of Washington with applied ZKP engineering at SxT. He bridges cryptographic zero-knowledge techniques and practical ML, aiming to make research systems more auditable and privacy-preserving. Comfortable switching between research and engineering, Dustin translates complex algorithms into reproducible experiments and production-minded prototypes. An early-career researcher with industry exposure, he is focused on integrating trust, verifiability, and scalability into ML workflows.
An empty Game Engine in which you can build a game.
Contributions:18 reviews, 103 PRs, 153 pushes in 3 months
gamedevgame-engineemptygame-development
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