James Wexler
Staff Software Engineer at Google
Greater Boston United States
Summary
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Rockstar🎓
Top SchoolJames Wexler is a Staff Software Engineer with a decade of experience building visualization and interpretability tools for machine learning, currently at Google’s People+AI Research (PAIR) initiative in Greater Boston. He combines front-end polish and full-stack engineering with ML expertise, contributing to high-profile open-source projects like TensorBoard, tfjs, and LIT to make model behavior and datasets more understandable. His work spans prototyping teachable demos (TopK image classifier, js-dos integrations) to hardening production visualization logic and unit testing for interpretability projects such as TCAV. Prior roles at Amazon, Microsoft, and Raytheon reflect deep systems and performance experience, including leading 3D controls and high-availability radar software. Colleagues rely on him for bridging research and product: shipping interactive UIs, cross-browser webcam performance fixes, and nuanced graph-visualization bug fixes that improve ML debugging at scale.
10 years of coding experience
18 years of employment as a software developer
BS, Computer Science, BS, Computer Science at University of RochesterMS, Computer Science, MS, Computer Science at Northeastern University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (36)
webgl10
unit-testing10
data-visualizations10
debug10
javascript10
interpretation10
python10
mobx10
testing10
css10
tensorflowjs10
typescript10
machine-learning10
data-visualisation10
tensorflow10
Programming languages (9)
Github contributions (5)
PAIR-code/what-if-tool
Sep 2018 - Jan 2022
Source code/webpage/demos for the What-If Tool
Role in this project:
Front-end Developer
Front-end DeveloperContributions:2 releases, 21 reviews, 279 commits in 3 years 4 months
Contributions summary:James primarily focused on fixing and updating the demo interfaces within the What-If Tool. Their contributions involve updating links, which suggests a maintenance role in the user interface and ensuring proper user navigation. They also updated demos to the latest version and added images in the HTML files, thus indicating a development role within the frontend part of the project.
webpagejupyterlab-extensionwhat-ifmachine-learningtensorboard
PAIR-code/facets
Jul 2017 - Jan 2023
Visualizations for machine learning datasets
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:4 releases, 4 reviews, 175 commits in 5 years 7 months
Contributions summary:James primarily contributed to the frontend of the project, making changes to the demonstration notebooks by converting Python-based stats generators into classes. They also fixed demo notebooks by removing unnecessary code and refactored styling and visual elements in the facets overview chart. In addition, they fixed polymer paths for a more stable build environment.
data-sciencemachine-learningmachine-learning-datasetsvisualizationsdata-visualization
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