Sizhi Tan is a software engineer with eight years' experience focused on ML framework efficiency and accelerator optimization, currently working on TPU and GPU performance at Google in Sunnyvale. With a dual BS in Computer Science and Statistics from UIUC and an MEng from Cornell/Cornell Tech, Sizhi blends strong theoretical grounding with practical systems engineering. Past internships in NLP and data engineering demonstrate versatility across the ML stack and production data pipelines. Known to be happy to refer and approachable, Sizhi pairs collaborative instincts with deep performance tuning skills. A subtle strength is an ability to translate academic rigor into measurable runtime gains on cutting-edge hardware.
8 years of coding experience
Master of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at Cornell University
Master of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at Cornell Tech
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Illinois Urbana-Champaign
High School Diploma, High School Diploma at The Attached Middle School To Jiangxi Normal University
Contributions:3 pushes, 1 branch in 1 year 9 months
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