Ming Tu
Software Engineer at Acer
New Taipei, Taiwan
Summary
👤
Senior🎓
Top SchoolMing Tu is a software engineer with 13 years of experience specializing in deep learning and computer vision, currently driving AI research and product development at Acer from New Taipei, Taiwan. He leads an AI team focused on tiny AI and practical CV solutions, bridging research prototypes to production products. Ming pairs academic training (M.S. in Computer Science from National Sun Yat-Sen University) with hands-on engineering, contributing full-stack improvements and Traditional Chinese support to the popular learnGitBranching interactive tutorial. His work emphasizes clear learning experiences and localization, reflecting attention to usability beyond core models. Comfortable across model research and engineering, he pushes lightweight, deployable CV systems for real-world constraints. Colleagues know him for combining rigorous research curiosity with pragmatic delivery.
14 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at National Sun Yat-Sen University
Github Skills (4)
javascript10
git10
localization9
front-end-development8
Programming languages (24)
Github contributions (5)
pcottle/learnGitBranching
Dec 2013 - Apr 2014
An interactive git visualization and tutorial. Aspiring students of git can use this app to educate and challenge themselves towards mastery of git!
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:35 commits in 4 months
Contributions summary:Ming contributed to the interactive git visualization and tutorial by updating various JavaScript files related to level content. The updates involved modifications to tutorial steps, modal alerts, and demonstration views, as well as corrections to language files for the zh-TW locale. Their changes focused on improving the learning experience by enhancing clarity and fixing grammatical errors. The user also worked on adding and integrating Traditional Chinese language support.
visualization
twmht/mmdetection
Oct 2021 - Dec 2022
OpenMMLab Detection Toolbox and Benchmark
Contributions:5 commits, 3 PRs, 6 pushes in 1 year 2 months
openmmlab
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