Fan Zhu is a researcher and hardware engineer with 12 years of experience focused on CPU and next-generation computer architecture, currently working at Huawei's Linx Lab in Shenzhen. He has driven design and optimization efforts on AI chipsets including Ascend910/310 under the DaVinci project, combining hardware design with machine learning system-level acceleration. Trained at Cornell (M.Eng.) and UW–Madison (BEng), he blends rigorous academic grounding with hands-on performance modeling and verification experience from early internships. Known for bridging CPU performance modeling and ML hardware co-design, he brings practical insight into both low-level microarchitecture and system-level acceleration strategies.
12 years of coding experience
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at University of Wisconsin-Madison
Master of Engineering, Computer Engineering, Master of Engineering, Computer Engineering at Cornell University
Contributions:5 pushes, 5 branches in 4 years 7 months
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