Weisu Yin
Machine Learning Engineer at Boson AI
Davis, California, United States
Summary
🤩
Rockstar🎓
Top SchoolWeisu Yin is a machine learning engineer with eight years of experience building production ML systems and infrastructure, currently contributing to Boson.ai after work on AWS Deep Engine-Science. He has been an active open-source contributor to high-profile projects like AutoGluon and GluonCV, improving core training pipelines, CI/CD, and Ray-based parallelism to make ML workflows faster and more robust. With an MS and BS in Computer Science from UC Davis, he combines research-minded experimentation—such as device-fingerprinting using gyroscope and video data—with practical engineering, from iOS apps and server backends to Docker and AWS Batch integrations. Notably, his contributions include refactoring model zoo documentation into machine-readable CSVs and expanding PyTorch tutorial support, reflecting a focus on developer experience as well as system reliability.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of California, Davis
Chinese, English
Github Skills (15)
computer-vision10
mxnet10
ray10
deeplearning-ai10
deep-learning10
python10
cicd10
dockers9
ensemble-learning9
documentation9
automated-machine-learning9
aws9
machine-learning9
docker9
devops8
Programming languages (9)
Github contributions (5)
autogluon/autogluon
Aug 2021 - Jan 2023
Fast and Accurate ML in 3 Lines of Code
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:3 releases, 518 reviews, 131 commits in 1 year 5 months
Contributions summary:Weisu's contributions primarily involved improving the codebase and supporting the project's infrastructure. They fixed fitting processes within the core, updated the code to support newer python versions, and refactored code related to parallel processing using Ray. The user also maintained the CI/CD pipeline by adding and adjusting build triggers.
forecastingimage-textmlppythonmeta-learning
dmlc/gluon-cv
Sep 2020 - Jun 2022
Gluon CV Toolkit
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:12 reviews, 29 commits, 40 PRs in 1 year 9 months
Contributions summary:Weisu refactored existing code related to model zoo documentation by converting tables into a CSV format for improved readability and organization. They also added features for auto-resizing tables and updated column width ratios within the documentation. Additionally, the user made contributions to add PyTorch tutorials to the existing documentation, demonstrating a focus on expanding the project's support for the PyTorch framework. Furthermore, the user added support for AWS Batch and Docker to the project.
pytorchmxnetperson-reidsemantic-segmentationdeep-learning
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