Kuang-han Huang
Software Engineer, Machine Learning at Meta
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolKuang-han Huang is a software engineer and machine learning specialist based in Seattle with 11 years of experience and a PhD in Physics and Astronomy from Johns Hopkins. He blends academic rigor—years of Hubble and Keck observational research and large-scale Monte Carlo modeling—with industry practice building production ML at Meta, DispatchHealth, and Prealize Health. Kuang-han has delivered end-to-end ML systems from distributed deep learning on Horovod and Spark/Databricks pipelines to clinical and imaging applications, plus neuroscience imaging pipelines and containerized scientific compute stacks. Colleagues rely on him to translate complex scientific problems into scalable production models, and he often brings uncommon domain expertise in astronomical and biomedical data to commercial ML problems.
11 years of coding experience
7 years of employment as a software developer
Johns Hopkins UniversityBachelor of Science Physics, Bachelor of Science Physics at National Taiwan Normal UniversityHSNU
Chinese, English, German, Japanese
Github Skills (50)
portable9
xgboost9
java9
gradient9
machine-learning9
python8
scalable8
dplyr8
boosting8
dask8
distributed-systems8
sparklyr8
scala8
spark8
gbm8
Programming languages (4)
Github contributions (5)
kuanghan/astrokuang
Feb 2017 - Nov 2018
Contributions:17 pushes, 1 branch in 1 year 8 months
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