Xingyu Zhou
Machine Learning Engineer at Apple
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolXingyu Zhou is a Machine Learning Engineer with 10 years of experience building ML and hardware-aware software at the intersection of silicon and systems, currently contributing to Apple’s ML efforts from San Jose. He has designed and optimized deep learning compiler stacks and firmware for NPUs and AI accelerators at Kneron, and delivered production software at scale during a multi-year tenure as an SDE II at AWS. Comfortable across Python, Java, and MATLAB, he combines hands-on low-level hardware interfacing with higher-level model deployment and optimization expertise. A UC San Diego M.S. in Computer Engineering and earlier hardware internships inform his pragmatic approach to marrying algorithmic improvements with efficient hardware mapping—an often-overlooked strength that speeds ML models from prototype to silicon.
10 years of coding experience
5 years of employment as a software developer
University of California San DiegoBachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Purdue University
English, Chinese
Github Skills (41)
spirv10
opencl10
tvm10
vulkan10
javascript10
deploying10
machine-learning-models10
jupyter10
data-science10
cpu10
gpu-programming10
machine-learning10
inference10
reinforcement-learning10
sagemaker10
Programming languages (3)
Github contributions (5)
zxy844288792/tvm
Jul 2019 - May 2022
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Contributions:1 PR, 158 pushes, 45 branches in 2 years 11 months
cpugpu-programminggpu-accelerationtvmdeep-learning
zxy844288792/zxy844288792.github.io
May 2016 - Feb 2019
Contributions:57 pushes, 1 branch in 2 years 10 months
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