Ming-en Hsieh

Leader at Lasertec Corporation

New Taipei, Taiwan
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Summary

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Senior
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Top School
Ming-en Hsieh is a machine learning leader with 11 years of experience building production-grade ML systems and data platforms across e-commerce, healthcare, and education. He has driven high-throughput deployments—owning systems that serve billions of predictions per week—and cut model retraining delivery time by 70% through CI/CD, Databricks/Spark migrations, and automated data-quality tooling. Comfortable from research to operations, he has productionized deep learning NLP and recommendation models, designed monitoring and model-quality control, and led cross-functional adoption of ML in product dataflows. Known for pragmatic infrastructure work, he has reduced cloud costs, managed multi-GPU clusters, and established reproducible research practices during his MS research and lab leadership. Currently leading ML engineering at Lasertec after a senior engineering stint at NielsenIQ, he blends hands-on algorithmic improvements with systems-level reliability and rapid iteration.
code11 years of coding experience
job9 years of employment as a software developer
bookMaster of Science - MS, Institute of Data Science and Engineering, Master of Science - MS, Institute of Data Science and Engineering at National Chiao Tung University
languagesChinese, English, Mandarin
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Github Skills (88)

yum10
dashboard10
postgresql10
python10
tqdm10
telegram10
deep-learning10
gpu10
meter10
argparse10
clojure10
metabase10
progress-bar10
hyperparameter-tuning10
data-visualization10

Programming languages (4)

JavaC++PythonClojure

Github contributions (5)

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Contributions:184 pushes, 1 branch in 2 months
Contributions:29 commits, 1 push in 2 months
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Ming-en Hsieh - Leader at Lasertec Corporation