Ping-han Chiang
Senior Scientist at Appier
Taipei–Keelung Metropolitan area Taiwan
Summary
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Senior🎓
Top SchoolPing-han Chiang is a Senior Scientist and machine learning engineer with 10 years of experience applying ML and deep learning to real-world problems, most recently at Appier after leading ML efforts at Bank SinoPac. He has delivered production-grade solutions—from XGBoost/CatBoost fraud detection systems and FastAPI model deployments to LLM-driven preprocessing for unstructured credit card records—and co-authored research presented at ICML 2023. With an M.S. in Computer Science from National Tsing Hua University and a background teaching deep learning, he blends rigorous research instincts with practical engineering, including Golang CLI tooling for Kubernetes. Comfortable across the ML lifecycle, he brings a knack for turning messy tabular and text data into reliable, business-facing systems.
10 years of coding experience
4 years of employment as a software developer
M.S. Computer Science, M.S. Computer Science at National Tsing Hua University
English, Chinese
Github Skills (28)
hugo-theme10
hugo10
multilingual10
grayscale10
high-performance10
natural-language-understanding9
dataframe9
python9
responsive9
dataframes9
polars9
nlp9
threaded9
rust8
natural-language-processing8
Programming languages (4)
Github contributions (5)
u10000129/Final-Project-4P-
May 2016 - May 2017
Contributions:1 PR, 82 pushes, 4 branches in 11 months
2018-SOA-TEAM1/MLBAtBat
Oct 2018 - Jan 2019
Contributions:30 PRs, 60 pushes, 8 branches in 2 months
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