Min Wu
Taipei, Taiwan
Summary
👤
Senior🎓
Top SchoolMin-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.
9 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 UniversityMaster of Science - MS Graduate Institute of Networking and Multimedia, Master of Science - MS Graduate Institute of Networking and Multimedia at National Taiwan University
Chinese, English, Japanese
Github Skills (55)
vision-transformer10
object-detection10
faster-rcnn10
glip9
pytorch9
imaging9
autoencoder9
normalization9
openmmlab9
instance-segmentation9
transformation9
mask-rcnn9
retinanet9
swin-transformer9
transformer9
Programming languages (5)
Github contributions (5)
Min-Sheng/blog
Aug 2017 - Jun 2022
Contributions:665 pushes, 1 comment in 4 years 11 months
rulerhostedperfectsitesportfolios
Kaminyou/Kernelized-Instance-Normalization
Feb 2022 - Jul 2022
[ECCV 2022] Official implementation of "Ultra-high-resolution unpaired stain transformation via Kernelized Instance Normalization"
Contributions:10 commits in 5 months
transformationeccvresolutionnormalizationultra
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