Yuhan Shen
Applied Scientist at Amazon
Boston, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolYuhan Shen is an Applied Scientist at Amazon AGI with a Ph.D. in Computer Science from Northeastern University, specializing in video understanding and multimodal learning. Over eight years of experience spans top-tier research internships at Meta FAIR and TikTok, producing CVPR publications and leading oral and workshop papers on weakly-supervised video segmentation and large-scale audio-visual captioning. Their PhD work focused on interpreting complex human activities from video with minimal supervision, yielding multiple first-author CVPR papers and measurable gains in segmentation IoU. Yuhan also contributes to open-source ML tooling, improving backend performance and reservoir-sampling logic in PaddlePaddle projects, signaling strong systems and engineering chops beyond pure research. Based in Boston, they bridge rigorous academic research with production-aware engineering to move multimodal models from prototype to deployable components. A less obvious strength is the blend of deep theoretical grounding and hands-on backend optimization, enabling both novel algorithms and scalable implementation.
8 years of coding experience
Doctor of Philosophy - PhD, Computer Science, 4.0, Doctor of Philosophy - PhD, Computer Science, 4.0 at Northeastern UniversityBachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Tsinghua University
Github Skills (14)
deep-learning10
python10
data-structure9
performance-optimization9
package-management9
file-management9
software-packaging9
management9
data-structures9
configuration-management9
paddlepaddle9
visualization8
visualizations8
modello7
Programming languages (5)
Github contributions (5)
PaddlePaddle/PaddleHub
Sep 2019 - Jan 2021
Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)【安全加固，暂停交互，请耐心等待】
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 reviews, 178 commits, 172 PRs in 1 year 4 months
Contributions summary:Yuhan primarily contributed to the configuration and management of the PaddleHub environment. Their commits focused on adding and modifying config operators, including reset, log level setting, and server URL configuration. Furthermore, the user implemented features related to module installation and file management, such as generating an MD5 checksum for installed modules.
image-textmodelvideoservingcomputer-vision
PaddlePaddle/VisualDL
Mar 2020 - Jun 2021
Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）
Role in this project:Back-end Developer
Back-end DeveloperContributions:21 reviews, 95 commits, 156 PRs in 1 year 3 months
Contributions summary:Yuhan primarily contributed to the `visualdl/server/data_manager.py` file, implementing features related to data management, specifically focusing on accumulating sampling rates. They fixed performance issues related to backend data transfer. The code changes involved modifications to data structures and algorithms within the reservoir sampling context, indicating backend logic development for the visualization toolkit.
pytorchdeep-learningpaddlepaddlecomputer-visiononnx
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