Dylan Cutler
Senior Software Engineer at Google
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolDylan Cutler is a Senior Software Engineer at Google with a decade of experience building privacy-forward web platform features, including authoring the CHIPS proposal and implementing Chrome’s Partitioned cookie attribute. He blends systems-level C++ and Go work in Chromium with ML research—co-authoring the AltUp transformer paper—and practical full-stack contributions to projects like tensorflow/tfjs and web-platform-tests. Based in Cambridge, MA, he focuses on improving security, privacy, and user experience at scale while also designing efficient deep-learning models (including a diffusion-transformer image generator trained on a single A100). Comfortable across JavaScript/TypeScript, Python, Rust and more, he brings both rigorous research instincts and pragmatic engineering to complex, socially impactful problems.
10 years of coding experience
11 years of employment as a software developer
Bachelor of Science (B.S.) Physics and Mathematics, Bachelor of Science (B.S.) Physics and Mathematics at Georgetown UniversityHigh school, High school at Hopkins School
English
Github Skills (43)
data-visualizations10
webgl10
string-validation10
javascript10
type-check10
python10
animation10
matplotlib10
testing10
tensorflowjs10
typescript10
chromium10
data-visualisation10
plot10
quaternions10
Programming languages (15)
Github contributions (5)
tensorflow/tfjs
Oct 2019 - May 2022
A WebGL accelerated JavaScript library for training and deploying ML models.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:2 reviews, 5 commits, 7 PRs in 2 years 7 months
Contributions summary:Dylan contributed to the tfjs repository by implementing and improving core functionalities. Their work included adding documentation for memory management features and implementing the `meshgrid` operation, indicating a focus on improving the library's usability and expanding its capabilities. Furthermore, the user developed and integrated a new NodeJS kernel, specifically for the `FlipLeftRight` operation, demonstrating expertise in backend implementation and framework integration. The user's involvement spans both core functionality and performance considerations, suggesting full-stack involvement.
deployingjavascript-librarygpu-accelerationml-modelswebgl
toji/gl-matrix
Oct 2020 - Oct 2020
Javascript Matrix and Vector library for High Performance WebGL apps
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:7 reviews, 9 commits, 1 PR in 13 days
Contributions summary:Dylan focused on enhancing the `gl-matrix` library, primarily by expanding the functionality of quaternion operations. They implemented new features like the `fromEuler` function and supporting different intrinsic orders for Euler angle conversions, while also refining existing functions through variable order fixes and jsdoc. These contributions included adding unit tests and adjusting existing code to ensure functionality, demonstrating a focus on code quality and library usability.
webgljavascriptperformancematrixvector
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.