Summary
Zeyu Dong is a software engineer in the San Francisco Bay Area with eight years of experience building vision-centric systems and applied ML. Currently at Google, he contributes to Shorts recommendation at YouTube, bringing production experience in large-scale ranking and personalization. His PhD work in Applied Mathematics and Statistics from Stony Brook University underpins research roles applying deep reinforcement learning to high-dimensional control at NSLS-II and end-to-end autonomous driving on real robots. He has augmented industry experience with a machine learning internship focused on talent-signal models at Rippling, demonstrating versatility across research and product settings. Zeyu blends rigorous academic training with hands-on system delivery, favoring problems at the intersection of perception, control, and scalable recommendation. Colleagues note his ability to translate complex ML research into robust production features.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Southern University of Science and Technology
Doctor of Philosophy - PhD, Applied Mathematics and Statistics, Doctor of Philosophy - PhD, Applied Mathematics and Statistics at Stony Brook University