Peng-hsuan Li is a Machine Learning Engineer based in New Taipei with a decade of experience bridging research and production-grade ML systems. Currently at Taiwan AILabs after research work at Academia Sinica and early engineering roles at Trend Micro, he combines strong academic credentials (MS/BS in Computer Science from National Taiwan University) with practical delivery. He has hands-on experience improving core NLP tooling—most notably refactoring and modernizing the CKIP Chinese NLP toolkit for better deployment, GPU support, and multi-source data handling. Comfortable across the stack, he focuses on maintainability, reproducible builds, and evolving pipelines from research prototypes to reliable services. Colleagues can expect a practitioner who balances rigorous research habits with pragmatic engineering decisions.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, 3.90/4.30, Master of Science - MS, Computer Science, 3.90/4.30 at National Taiwan University
CKIP Neural Chinese Word Segmentation, POS Tagging, and NER
Role in this project:
Full-stack Developer
Contributions:9 releases, 58 commits, 4 PRs in 3 years 3 months
Contributions summary:Peng-hsuan primarily focused on refactoring and improving the codebase, indicated by file and import name changes. They made significant updates to the build and deployment process, updating dependencies and Python versions. The user also addressed warnings within the demo, and added and modified code responsible for data handling and downloads from a variety of sources, including both internal CKIP servers and Google Drive, and introduced options for GPU use, reflecting improvements to the project's overall maintainability and functionality.
Contributions:40 pushes, 1 branch in 8 years 4 months
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Peng-hsuan Li - Machine Learning Engineer at Taiwan AILabs