Tao Shen
Tech Lead at 字节跳动
Shanghai, Shanghai, China
Summary
👤
Senior🎓
Top SchoolTao Shen is a Tech Lead based in Shanghai with nine years of hands-on experience building production AI systems and leading research-to-product efforts in top Chinese tech labs. He transitioned from a senior researcher role at Tencent AI Lab—where he worked on large language models for biomolecules and end-to-end protein/RNA structure prediction—to product-focused leadership at ByteDance. A Kaggle Grandmaster with 12 gold medals and multiple top-2 finishes in high-profile competitions (including RSNA and Recursion), he combines competitive problem-solving with practical deployment experience in computer vision and medical imaging. His background in medical image processing and early work on large-scale face ID and anti-spoofing informs a strong blend of domain expertise and model engineering. Notably, he has repeatedly translated cutting-edge research into prize-winning solutions, signaling an ability to push boundaries while delivering robust systems.
9 years of coding experience
7 years of employment as a software developer
Master of Engineering (M.Eng.) Medical Image Processing, Master of Engineering (M.Eng.) Medical Image Processing at Southeast University
Github Skills (37)
face10
face-detection10
kaggle10
spoofing10
face-recognition10
pytorch9
python9
machine-learning9
re-identification9
tensorflow9
deep-learning9
computer-vision9
salt8
mxnet8
face-alignment8
Programming languages (1)
Github contributions (5)
SeuTao/Xtensorflow
Apr 2018 - Jul 2018
Contributions:24 commits, 21 pushes, 1 branch in 2 months
SeuTao/RSNA2019_Intracranial-Hemorrhage-Detection
Nov 2019 - Sep 2022
Code for 1st Place Solution in Intracranial Hemorrhage Detection Challenge @ RSNA2019
Contributions:34 commits, 1 PR, 29 pushes in 2 years 10 months
pytorchplacedeep-learningcomputer-visionmachine-learning
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