Michael Wu
Software Engineer at Meta
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolMichael Wu is a software engineer based in Seattle with six years of industry experience building and shipping ML-enabled systems at companies including Meta, Google, Intel, Mythic, and Hume AI. He combines low-level C++ expertise and Python-based deep learning work (NumPy, OpenCV, PyTorch) to optimize models for deployment on edge hardware and cloud platforms, with hands-on experience in PlaidML and Movidius integrations. At PlaidML he contributed backend fixes, OpenCL improvements, an edge-padding tensor op and a transfer-learning demo, signaling a pragmatic focus on portability and performance. His background in electrical engineering (UCLA MS/BS) and early manufacturing/equipment roles gives him a systems-minded approach to bridging model research and production constraints.
6 years of coding experience
10 years of employment as a software developer
University of California, Los Angeles
Chinese, English
Github Skills (8)
python10
opencl9
tensorflow7
documentation7
keras7
machine-learning6
cprogramming-language5
c-language5
Programming languages (1)
Github contributions (5)
plaidml/plaidml
Jun 2019 - Aug 2021
PlaidML is a framework for making deep learning work everywhere.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 reviews, 25 commits, 19 PRs in 2 years 1 month
Contributions summary:Michael contributed to the PlaidML framework by exposing the configuration file location to the user, modifying the `plaidml_setup.py` and `settings.py` files. They also updated the documentation by modifying `docs/install.rst`, `docs/contributing.rst` and `docs/release-notes.rst` and made OpenCL related fixes. The user also implemented an edge padding operation, stepping through the tensor axis. Additionally, the user added a transfer learning demo.
pytorchtvmdeep-learningmachine-learningcompiler
mwyi/plaidml
Jul 2019 - Jul 2019
PlaidML is a framework for making deep learning work everywhere.
Contributions:14 pushes in 1 day
deep-learningpytorchplaidmlmachine-learning
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