Wen-fu Lee
Applied Scientist at Amazon
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolWen-fu Lee is an applied scientist in Seattle with eight years of experience building ML systems for Ads ranking and measurement at Amazon and Meta, grounded in a deep technical background in image and video processing. He blends production ML (PyTorch, TensorFlow, PySpark) with low-level C++/CUDA implementation experience from six years designing hardware- and software-grade imaging algorithms at MediaTek. His work spans privacy-preserving ads measurement, personalized ad ranking, and follow recommendation improvements, and he understands the full camera-to-display pipeline (HDR, denoise, contrast, color management) that informs perceptual model design. A triple-master’s graduate (NTU and UW–Madison) with near-perfect GPAs, he brings both rigorous academic training and pragmatic product delivery to large-scale systems. Less obvious: his cross-domain expertise lets him translate perceptual, sensor-level insights into measurable improvements in ad performance and user experience.
8 years of coding experience
10 years of employment as a software developer
Bachelor's Degree, Electrical Engineering, GPA：3.96/4.00, Bachelor's Degree, Electrical Engineering, GPA：3.96/4.00 at National Taiwan UniversityMaster's degree, Computer Science, GPA：4.00/4.00, Master's degree, Computer Science, GPA：4.00/4.00 at University of Wisconsin-Madison
English, Chinese, Japanese
Github Skills (11)
segmentation5
semantic-segmentation4
deep-learning3
pytorch3
julia2
conda2
python2
machine-learning1
package-manager1
mamba1
optimization1
Programming languages (2)
Github contributions (5)
WenFuLee/CS-766-Computer-Vision
Mar 2018 - May 2018
Contributions:87 commits, 80 pushes, 2 branches in 1 month
WenFuLee/CS-839-Data-Science
Feb 2018 - May 2018
Contributions:68 pushes, 1 branch in 2 months
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