Summary
Jeffrey Lin is an AI systems engineer with 11 years in software and 6+ years focused on large-scale Python-based AI product development, currently leading technical efforts at 玉山金控 where he designs developer frameworks, SDKs, and testing pipelines to streamline ML/ETL research-to-production flows. He has 4+ years of domain expertise in financial AI—owning prototyping, evaluation, and deployment of services like house price and credit loan estimators and customer knowledge graph products—combining developer, product-owner, and tech-lead responsibilities. Trained in telecommunications (NTU) and advanced ML research (NTU/KKBOX collaboration), he blends academic rigor with practical engineering of recommendation and retrieval systems. Known for high code-quality standards, efficiency-first thinking, and persistence on hard engineering problems, he also absorbs and contributes to the open-source Python AI and data-engineering community. Less obvious: he brings hands-on business-user support experience from a technology management bootcamp, giving him pragmatic insight into cross-departmental AI adoption and operational constraints.
11 years of coding experience
電信工程碩士, Telecommunications Technology/Technician, 電信工程碩士, Telecommunications Technology/Technician at 台灣大學
工學學士, ENGINEERING, 工學學士, ENGINEERING at National Tsing Hua University
English, Chinese