Min-Sheng (Min) Wu is a Senior Machine Learning Engineer based in Taipei with eight years of experience building AI solutions at the intersection of medical imaging and large language models. At aetherAI he led development of TDFA-certified cell instance segmentation and automated field-of-view systems for bone marrow smears, delivering clinical-grade accuracy and orchestration of multidisciplinary teams. Now at Foxconn’s AI CoE he focuses on LLMs while retaining deep expertise in computer vision, data annotation tooling, and cross-stain image registration optimized for low-data regimes. He blends research-minded problem solving with production engineering—automating annotation workflows and refactoring core toolkits to improve performance and maintainability. Trained in biomedical engineering and networking/multimedia at National Cheng Kung University and NTU, he brings both domain knowledge and systems-level thinking to healthcare AI deployments.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering (B.E.) Biomedical Engineering, Bachelor of Engineering (B.E.) Biomedical Engineering at National Cheng Kung University
Master of Science - MS Graduate Institute of Networking and Multimedia, Master of Science - MS Graduate Institute of Networking and Multimedia at National Taiwan University
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Min Wu - Senior Machine Learning Engineer at 鴻海精密工業股份有限公司