Zangwei Zheng is a Tech Lead based in Singapore with eight years of software and research experience and is currently a PhD candidate at the National University of Singapore (on leave). He leads engineering at HPC-AI Tech, focusing on infrastructure and performance for large-scale AI systems, and previously interned at ByteDance and UC Berkeley. On GitHub he contributes to ColossalAI—working on communication, kernel, and Gemini memory modules where his refactors and style improvements emphasize maintainability in distributed deep-learning codebases. A Nanjing University computer science graduate with top grades, he blends research rigor with production engineering to make large-model training faster, cheaper, and easier to operate.
8 years of coding experience
1 year of employment as a software developer
High School Diploma, High School Diploma at Jiangsu Xishan Senior High School 江苏省锡山高级中学
Bachlor, Computer Science and Technology, 4.61/5.00, Bachlor, Computer Science and Technology, 4.61/5.00 at Nanjing University
Ph.D., Computer Science, Ph.D., Computer Science at National University of Singapore
Making large AI models cheaper, faster and more accessible
Role in this project:
ML Engineer
Contributions:7 commits, 9 PRs in 10 months
Contributions summary:Zangwei primarily focused on code style improvements and refactoring within the ColossalAI project. Their contributions involved polishing code in modules related to communication, kernel operations, and Gemini memory management. The changes primarily focused on adjusting code formatting and style, suggesting a focus on maintaining code quality within the distributed deep learning framework.
Contributions:82 commits, 1 push, 1 branch in 5 months
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