Summary
Yu-hsiang Fu is a Machine Learning Engineer and former staff data scientist with eight years of experience turning GenAI and data science into measurable business outcomes across manufacturing, retail, and finance. He has delivered end-to-end integrations from on-prem to cloud—RPA, ERP data cleansing/migration (SAP, MES), Data APIs, BI dashboards, and AI visual inspection—while patenting an intelligent recipe-design system for materials formulation. As a team lead he built cross-regional, AI-enabled governance and talent programs that institutionalized transparent, data-driven decision cycles and markedly improved delivery stability. His technical strengths span demand forecasting under sparse data (AE/VAE, Seq2Seq), knowledge-graph pilot work, and productionized ML solutions that influenced million-dollar platform investments. Grounded in a PhD-level research background in network science and spatial mining, he blends rigorous simulation-focused thinking with pragmatic engineering for operational impact. Based in Taoyuan City, Taiwan, he’s equally curious about complex network analysis and evolutionary computation, which informs his unconventional approaches to business problems.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science and Engineering, Doctor of Philosophy - PhD Computer Science and Engineering at National Chiao Tung University
Exchange Student of Master's Degree Computer and Information System, Exchange Student of Master's Degree Computer and Information System at University of Aizu, Japan
Master's Degree Information Management, Master's Degree Information Management at Chaoyang University of Technology (CYUT)
Bachelor's degree Information Management, Bachelor's degree Information Management at Chia Nan University of Pharmacy & Science (CNU)