Michael Suo
Summary
🤩
Rockstar
Top expert inArtificial Intelligence and Machine Learning Technologies
Michael Suo is a software engineer in the San Francisco Bay Area with 13 years of experience and a tenure at Facebook since 2015. He’s an active open-source contributor to high-profile projects like PyTorch—working on low-level C++ tensor internals, sizes/strides representation and MPS backend improvements—and to Dataverse, where he added backend features such as role-assignment notifications and API facets. His work bridges high-performance ML systems and practical backend reliability, from optimizing tensor representations to eliminating test flakiness and fixing subtle permissions bugs. A Harvard BA in Computer Science, he brings research-oriented rigor to production systems and a knack for shipping small, high-impact fixes across large codebases.
13 years of coding experience
Github Skills (19)
api-doc10
pytorch10
c-language10
back-end-development10
java10
javas10
api10
dataverse10
cuda10
tensor10
c-programming-language10
api-design9
restful-api9
testing9
api-rest9
Programming languages (14)
Github contributions (5)
pytorch/pytorch
Aug 2018 - Jan 2023
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Role in this project:
Back-end Developer
Back-end DeveloperContributions:731 reviews, 1516 commits, 1109 PRs in 4 years 6 months
Contributions summary:Michael primarily focused on modifying and improving the internal workings of the PyTorch library. Their contributions included changes to the representation of sizes and strides in `TensorImpl::sizes_and_strides_`, implementing and refining functions within the core C++ library, and making updates to the MPS implementation. They also addressed test flakiness and improved the consistency of tests.
pythongpu-accelerationdeep-learninggpunumpy
IQSS/dataverse
Jun 2015 - Jul 2015
Open source research data repository software
Role in this project:Back-end Developer
Back-end DeveloperContributions:16 commits, 19 pushes, 14 comments in 1 month
Contributions summary:Michael contributed to the Dataverse project by addressing specific backend issues and implementing new features. They fixed a permissions URL in the request access email, ensuring it pointed to the correct file permissions page. The user also added a role assignment notification system, which sends notifications upon role assignment or revocation. Furthermore, they added an API endpoint to list dataverse facets.
research-datadata-repositoryopendataresearch-data-repositorycreative-commons
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