Baigong Zheng
Senior Research Scientist at Kwai Inc.
China
Summary
🤩
Rockstar🎓
Top SchoolBaigong Zheng is a Senior Research Scientist with eight years of experience at the intersection of machine learning research and applied systems, currently driving research efforts at Kwai in China. He holds a PhD in Computer Science from Oregon State University and has worked on simultaneous machine translation at Baidu USA and deep reinforcement learning during internships at Amazon Robotics and Sony US Research. His background spans theoretical algorithm design for NP-hard planar graph problems to pragmatic engineering—evidenced by a notable open-source contribution implementing a fully featured audio component for Baidu's popular low-code front-end framework, AMIS. Comfortable moving between research and production, he combines rigorous academic training with practical software development to deliver deployable ML-enabled features. Colleagues describe him as someone who translates complex models into usable components, bridging theory and front-end engineering in ways that improve real products.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Oregon State UniversityMaster of Science (MS), Computer Science, Master of Science (MS), Computer Science at Dalian University of Technology
Chinese, English
Github Skills (12)
web-framework10
typescript10
typescripts10
frontend10
js-framework10
front-end-development10
react10
typescript-types10
javascript9
low-code9
json8
admin7
Programming languages (5)
Github contributions (5)
baidu/amis
May 2019 - Jul 2020
前端低代码框架，通过 JSON 配置就能生成各种页面。
Role in this project:
Front-end Developer
Front-end DeveloperContributions:3 releases, 297 commits, 81 PRs in 1 year 2 months
Contributions summary:Baigong's commits primarily focused on the implementation of an audio component for the "baidu/amis" repository, a low-code front-end framework. They added and optimized the audio component, which included features such as play/pause controls, volume adjustments, and playback rate controls. The user also added an example to demonstrate the audio component in the "amis" framework.
lowcodelow-code-development-platformno-codejavascriptfrontend-framework
catchonme/code-snippets
Feb 2018 - Sep 2019
Contributions:345 pushes, 2 branches in 1 year 7 months
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