Matthew Watson
Senior Software Engineer at Google
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMatthew Watson is a Senior Software Engineer with 13 years of experience building production-grade ML and desktop software, currently at Google where he develops KerasNLP and helps maintain the core Keras library. He blends research-oriented NLP expertise with practical engineering—contributing features like new preprocessing output modes and model save/load fixes to the flagship keras-team repo and improving infrastructure and docs across keras-hub and keras-io. Earlier work at Endless Computers and contributions to GNOME/GTK show a strong systems and front-end background, including animation and widget refactors that improved UX tooling. Almost an English major by training, he has a keen interest in the human side of language models and in aligning NLP tools with values as well as mechanisms. Based in San Francisco and an avid climber who recently spent three months on the Pacific Crest Trail, he brings curiosity and real-world perspective to ML product development.
13 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at Stanford University
English, Spanish
Github Skills (19)
apim10
python10
animation10
api-design10
css10
machine-learning10
keras10
api-documentation10
gtk10
deep-learning10
api10
tensorflow10
bert10
documentation10
natural-language-processing9
Programming languages (10)
Github contributions (5)
keras-team/keras-hub
Nov 2021 - Jan 2023
Pretrained model hub for Keras 3.
Role in this project:
Backend Developer
Backend DeveloperContributions:65 releases, 2123 reviews, 211 commits in 1 year 2 months
Contributions summary:Matthew primarily focused on setting up and improving the project's infrastructure. They introduced scripts for code formatting, linting, and added configurations for VSCode and pre-commit hooks. Moreover, the user implemented test dependencies and created initial files with a version definition. The user also worked on adding dependencies for example BERT. Finally, the user added scripts for BERT vocabulary and data preparation.
nlppythondeep-learninglanguage-processingmachine-learning
keras-team/keras-io
May 2021 - Dec 2022
Keras documentation, hosted live at keras.io
Role in this project:Technical Writer
Technical WriterContributions:159 reviews, 22 commits, 85 PRs in 1 year 8 months
Contributions summary:Matthew's commits primarily focused on updating and improving the Keras documentation. The changes involve refactoring code examples, updating guides to reflect changes in the Keras API, and correcting links to point to the correct documentation pages. They also addressed inconsistencies in the documentation, ensuring accurate descriptions of functionalities. The user's contributions are focused on enhancing the clarity and usability of the Keras documentation.
deep-learninghostedmachine-learningtensorflowkeras
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.