Wei-chi Lin is a data scientist and ML engineer with nine years of hands-on experience building production AI systems, currently researching graph neural networks, knowledge graphs, and model distillation at National Cheng Kung University. He has deployed GraphRAG-based recommendation and RAG systems into live sports environments—bringing real-time insights to hundreds of users and achieving ~85% accuracy in volleyball player recommendations. His work spans PyTorch Geometric, Neo4j, and RAG pipelines, and he has a track record of turning research prototypes into enterprise-facing tools (including a rapid 48-hour rollout for a league). Previously he optimized industrial systems with automated evaluation pipelines and RAG chat assistants that cut manual inspections by 90%. Based in Taiwan and trained in AI & Robotics (MS) with a mechanical engineering background, he blends domain knowledge in sports dynamics with practical edge-deployment optimizations.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS AI and Robotics, Master of Science - MS AI and Robotics at National Cheng Kung University
Bachelor's degree Mechanical engineering, Bachelor's degree Mechanical engineering at National Changhua University of Education
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