Jhih-yuan Lin
Applied Scientist II at Amazon Lab126
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolJhih-yuan Lin is an Applied Scientist II at Amazon Lab126 with eight years of experience applying machine learning and deep learning to real-world products and medical imaging. He earned a Master's in Computer Science from National Taiwan University and began his career building FDA-cleared AI auto-contouring solutions for brain and full-body imaging at Vysioneer. At Amazon he contributed to Ring’s Virtual Security Guard and prototyped AR and 2D floor-plan tools from 3D reconstructions, blending research rigor with product-focused prototyping. Based in Sunnyvale, he combines strong academic grounding and high-GPA engineering roots with hands-on deployment experience across healthcare and consumer-edge applications.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Electrical and Electronics Engineering, GPA 4.1/4.3, Bachelor's degree, Electrical and Electronics Engineering, GPA 4.1/4.3 at National Cheng Kung UniversityMaster's degree, Computer Science, Master's degree, Computer Science at National Taiwan University
Stackoverflow
1reputation
0reached
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Github Skills (23)
python10
machine-learning10
deep-learning10
gpu10
numpy9
autoencoder9
neural-network9
tensor9
gpu-acceleration9
autograd8
segmentation8
medical-image-analysis8
convolutional-neural-networks8
medical-imaging6
pip5
Programming languages (1)
Github contributions (5)
cmlab-mira/VSR
Jul 2019 - Aug 2020
The 4D Cardiac MRI Video Super-Resolution.
Contributions:23 PRs, 76 pushes, 51 branches in 1 year 1 month
super-resolution
cmlab-mira/template
May 2019 - May 2020
The PyTorch template.
Contributions:183 commits, 23 PRs, 147 pushes in 1 year
pytorch
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