Tianyu Zhang is an engineering team lead at Citadel with eight years of experience building large-scale data platforms and ML systems that serve critical reference data across the firm. He combines production engineering with a strong ML research background from CMU—his graduate work focused on efficient fault tolerance in distributed training and he’s shipped ML-powered search and recommendation features at Uber Eats and ByteDance that reached hundreds of millions of users. Comfortable bridging research and production, Tianyu has progressed from intern roles to technical leadership in high-stakes, low-latency environments. Based in New York, he enjoys architecting scalable ML infrastructure and quietly aims to “do something really cool and make the world a better place,” bringing both pragmatic execution and academic rigor to engineering teams.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS Machine Learning, Master of Science - MS Machine Learning at Machine Learning Department at CMU
Bachelor of Science - BS Artificial Intelligence, Bachelor of Science - BS Artificial Intelligence at Carnegie Mellon University
High School Diploma, High School Diploma at Beijing National Day School
Contributions:11 commits, 499 pushes, 6 branches in 8 months
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