Kai Ye
Research Assistant at University of Pittsburgh
Shenzhen, Guangdong Province, United States
Summary
👤
Senior🎓
Top SchoolKai Ye is a research-focused machine learning engineer and PhD candidate in Electrical and Computer Engineering at the University of Pittsburgh, with 13 years of practical experience spanning industry and academia. His work centers on medical data analysis, brain network representation learning, and uncertainty estimation, informed by prior ML engineering at Tencent and graduate training at Wuhan University. Based in Shenzhen and currently a research assistant, he blends rigorous theoretical study with hands-on system implementation for healthcare-related AI. Known for a concise, confident personal brand (self-described “A Handsome Coder”), he brings cross-cultural experience between China and the U.S. and a track record of moving research toward real-world ML applications.
13 years of coding experience
1 year of employment as a software developer
Master's degree, Computer Science and Cybersecurity, Master's degree, Computer Science and Cybersecurity at Wuhan UniversityDoctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at University of Pittsburgh
Github Skills (100)
ui-components10
language-design10
linting10
javascript10
react-components10
fiddler10
typescript10
eslint10
arrow-functions10
naming-conventions10
debug10
antd10
css10
ui-design10
hosts10
Programming languages (7)
Github contributions (5)
mz-team/mz-fis
Jul 2015 - Oct 2017
Contributions:30 commits, 33 pushes, 1 branch in 2 years 3 months
kaiye/git-advanced-guide
Feb 2019 - Feb 2019
Contributions:20 commits, 13 pushes, 2 branches in 1 day
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