Summary
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.
11 years of coding experience
9 years of employment as a software developer
Master of Science - MS, Institute of Data Science and Engineering, Master of Science - MS, Institute of Data Science and Engineering at National Chiao Tung University
Chinese, English, Mandarin