Mingyu Liu is an Applied Scientist with 11 years of experience specializing in end-to-end ML solutions, currently building production models at Amazon after progressive applied research roles at eBay. Comfortable in both Python and Scala, he combines data engineering, visualization, and reproducible research to move models from prototype to production and communicate results to technical and non-technical stakeholders. His background in analytics (MS from Northwestern) and hands-on speedups—such as refactoring ETL pipelines for 3X performance and optimizing Cython collaborative filtering—demonstrates a practical focus on performance and scalability. He has experience generating large-scale targeted marketing cohorts and designing scikit-learn-like APIs for recommendation systems, showing a blend of product-minded engineering and research rigor. Based in California, Mingyu brings a track record of measurable impact on user-facing systems and operational pipelines across large e-commerce and health-tech environments. Notably, he has moved between research levels at eBay into a Level 5 applied role at Amazon, reflecting consistent technical growth and delivery.
11 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Industrial Management, Bachelor’s Degree, Industrial Management at National Taiwan University of Science and Technology
Master’s Degree, Industrial Engineering (Master of Science in Analytics), Master’s Degree, Industrial Engineering (Master of Science in Analytics) at Northwestern University
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Mingyu Liu - Applied Scientist (Level 5) at Amazon