Chendi Li is a PhD student at the University of Utah specializing in high-performance computing and high-performance machine learning, advised by Prof. P. (Saday) Sadayappan. With nine years of experience spanning research roles at the Institute of Computing Technology (CAS) and an internship at ByteDance focused on auto-tuning distributed kernels via LLM-driven reinforcement learning, he blends deep systems knowledge with practical accelerator-aware software design. His work centers on optimizing tensor computation for accelerators, bridging compiler/runtime techniques and ML workloads to squeeze out performance at scale. Having trained in China’s top computer-architecture lab and now based in Salt Lake City, he is actively seeking North American internships where he can translate research prototypes into production-ready optimizations.
9 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of Chinese Academy of Sciences
The University of Utah
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Hunan Agricultural University
Contributions:3 pushes, 1 branch in 2 years 10 months
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