Ziyang Wu
PhD Candidate
Berkeley, California, United States
Summary
🤩
Rockstar🎓
Top SchoolZiyang Wu is a PhD candidate in Computer Science at UC Berkeley with nine years of software and research experience focused on machine learning and computer vision. He has applied research skills in industry through a Microsoft research internship and built production-facing systems during internships at Morgan Stanley and IBM, including an NLP-driven Chinese poetry app. Trained at Cornell (BS summa cum laude, MS) and now at Berkeley, he bridges rigorous academic research with pragmatic engineering. Ziyang’s background spans model-driven research and real-world deployment, and he brings a knack for turning ML ideas into usable tools and services.
9 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California, BerkeleyMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Cornell University
Stackoverflow
1reputation
103reached
1answer
2questions
Github Skills (21)
eager9
keras8
deep-learning7
compression7
transformer-architecture6
react6
webhosting6
mern6
square6
machine-learning6
react-component6
javascript6
ecommerce6
docker-container5
tensorflow5
Programming languages (2)
Github contributions (5)
RobinWu218/LeetcodeFun
Jun 2017 - Jun 2018
Contributions:113 pushes, 1 branch in 1 year
RobinWu218/RobinWu218.github.io
Dec 2020 - Feb 2025
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:7 pushes in 4 years 1 month
templategithub-pages-templatemmistakesmistakesjekyll
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