Summary
Wei-chun Chu is a Senior Data Scientist based in Berlin with over a decade of hands-on experience applying mathematical modeling, machine learning, and deep learning to product-facing problems. He has built production recommendation systems and fit-scoring pipelines for major apparel brands (Adidas, The North Face, Zara, Asos, Zalando) and engineered cloud-native data pipelines using Apache Beam, Kubernetes, and GCP. His background in physics (PhD) and postdoctoral research informs a rigorous, simulation-minded approach—evident in Bayesian neural networks used to correct size charts and numerical models from his academic work. At Snap and Visier he translated complex data into actionable products, and at Fit Analytics he combined privacy-aware design with scalable ML for retail partners. Known for bridging research-grade methods and production engineering, he brings both domain depth in quantitative science and practical experience shipping reliable ML systems at scale.
10 years of coding experience
13 years of employment as a software developer
Master of Science (M.S.) Physics, Master of Science (M.S.) Physics at National Taiwan University
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at Georgia State University
English, Chinese, German