Zekun Ni
Sr. Applied Scientist at Microsoft
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolZekun Ni is a Sr. Applied Scientist in Seattle with 13 years of experience building production ML systems across weather forecasting, drug discovery, and search. Currently at Microsoft working on MSN Weather, he recently released a personal, data-driven global weather model branded Kunyu, demonstrating end-to-end model development and deployment. Previously he applied graph neural networks and docking/affinity prediction at Accutar Biotech and boosted recall in Google’s error page classification using ML-driven pipelines. His background blends strong algorithms, math, and systems engineering from internships at Face++ and Hulu to roles at Google and biotech, showing fluency from research to scalable products. Notably, he flags that he is not open to opportunities, underscoring focused commitment to his current projects.
13 years of coding experience
8 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Peking University
Chinese, English, German
Github Skills (17)
python10
machine-learning10
numpy10
deep-learning10
gpu10
neural-network10
acceleration9
autograd9
tensorflow9
tensor9
gpu-acceleration9
esoteric-language8
programming-language6
interpreter4
qt1
Programming languages (3)
Github contributions (5)
Elysion-tcfa/pyautoproxy-cernet
Jun 2015 - Mar 2020
Contributions:3 pushes in 4 years 8 months
Elysion-tcfa/utils
Jun 2015 - Jun 2016
Contributions:4 pushes in 1 year
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