Luke Wood
Member Of Technical Staff at Microsoft AI
New York City Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolLuke Wood is a Member of Technical Staff with a decade of experience building ML systems, developer tools, and web-native games, currently based in the New York City area. He combines research depth—PhD work in machine learning—with production engineering at Google, Microsoft AI, and Jane Street, shipping core features across TensorFlow/Keras and Cloud Shell. An active open-source contributor, he has improved Keras internals (convolutions, pickle support and clearer exceptions) and bootstrapped CI and packaging for Keras-CV, reflecting both low-level library insight and DevOps discipline. His interests span generative modeling, reinforcement learning, game theory, computer graphics and ocean sustainability, often blending playful web game design with rigorous ML methods. Notably, he’s moved between academic research and high-velocity product teams, making him comfortable translating novel algorithms into robust, user-facing tooling.
10 years of coding experience
6 years of employment as a software developer
University of California, San DiegoBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Southern Methodist University
Github Skills (24)
github-ci10
python10
technical-writing10
machine-learning10
cicd10
keras10
deep-learning10
tensorflow10
neural-network10
githubaction-workflow10
api-design9
object-oriented-programming9
code-formatting9
bash8
package-management8
Programming languages (14)
Github contributions (5)
keras-team/keras-cv
Nov 2021 - Jan 2023
Industry-strength Computer Vision workflows with Keras
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:22 releases, 1950 reviews, 382 commits in 1 year 2 months
Contributions summary:Luke focused on establishing the operational infrastructure for the repository, including setting up build tooling and processes. Their contributions included the creation of a `setup.py` package, a GitHub Action for linting, and scripts for completing the code style checks. The user's work on these areas established fundamental building blocks and guidelines for the repository's development process.
visiondeep-learningcomputer-visionindustrystrength
keras-team/keras-io
Jul 2021 - Jan 2023
Keras documentation, hosted live at keras.io
Role in this project:Technical Writer
Technical WriterContributions:194 reviews, 35 commits, 60 PRs in 1 year 6 months
Contributions summary:Luke primarily focused on improving the Keras documentation. Their contributions included correcting typos in examples, introducing new example guides, and updating links to personal websites. They also added API documentation and provided enhancements to existing documentation for various KerasCV features, such as object detection. Their work significantly enhanced the clarity and usability of the Keras documentation.
deep-learninghostedmachine-learningtensorflowkeras
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