Stevie Weiss possesses a diverse background in software engineering and research, with experience in esteemed institutions such as UCLA, University of Washington, Amazon, Google, and Peking University. Stevie's early work included developing performance counting APIs and modifying Linux kernel schedulers. At Amazon and Google, Stevie excelled in backend and frontend software engineering, leading projects related to data pipelines, system architecture, and accessibility. Recently, as a founder and lead engineer at Gigglebit Studios, Stevie focused on the implementation of advanced reinforcement learning models. Stevie's educational background includes a Bachelor of Science in Computer Science from UCLA, along with specializations in Generative Adversarial Networks and Reinforcement Learning from Coursera and the University of Alberta.
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