Shanbin Ke is a deep learning compiler engineer with 13 years of software experience, currently working on the XLA compiler at NVIDIA in California. He blends industry and research experience from roles at Microsoft and NetEase with a solid academic foundation from Zhejiang University and a master's in Computer Science from UC San Diego. His background spans practical software engineering and research assistantships, giving him a strong footing in optimization, compiler internals, and ML infrastructure. Known for navigating both research prototypes and production compiler challenges, he focuses on making advanced ML computation performant on modern hardware.
13 years of coding experience
1 year of employment as a software developer
University of California, San Diego
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Zhejiang University
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Shanbin Ke - Deep Learning Compiler Engineer at 英伟达公司