Haoyu Wu
Machine Learning Engineer at Meta
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolHaoyu Wu is a machine learning engineer in the San Francisco Bay Area with 11 years of experience applying computer vision and deep learning to real-world problems. With a PhD from UC Berkeley and roles spanning research scientist to ML engineer at Western Digital and Meta, he focuses on making neural networks practical under real-world constraints rather than chasing benchmark numbers. He bridges rigorous academic research and production engineering, shipping solutions that balance accuracy, efficiency, and deployability. An avid reader of new papers, he keeps abreast of cutting-edge methods and enjoys translating them into accessible, industry-ready systems—don’t call him a nerd, but he quietly loves the details.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Doctor of Philosophy (PhD) at University of California, BerkeleyUniversity of Illinois Urbana-ChampaignBachelor of Science (B.S.), Bachelor of Science (B.S.) at Tsinghua University
Chinese, English
Github Skills (98)
benchmark10
recommendation-system10
python10
toolbox10
diffusion-models10
deep-learning10
instance-segmentation10
vision-transformer10
faster-rcnn10
efficientnet10
glip10
openmmlab10
ml10
mask-rcnn10
generative-ai10
Programming languages (6)
Github contributions (5)
wuhy08/tensorflow
Feb 2020 - Aug 2020
An Open Source Machine Learning Framework for Everyone
Contributions:8 pushes, 5 branches in 6 months
pythondata-sciencedeep-learningmachine-learningframework-learning
wuhy08/CS289HW2
Sep 2016 - Sep 2016
Contributions:50 pushes, 1 branch in 1 day
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