Riley Jones
Senior Software Engineer at Yupp
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRiley Jones is a senior software engineer based in San Jose with a decade of experience building infrastructure, web tooling, and ML evaluation platforms, now contributing as a Member of Technical Staff at Replit. They were a founding front-end lead for Google's internal GenAI evaluation platform and helped ship UIs like the Kaggle Game Arena, showing a blend of product-oriented frontend work and deep systems thinking. Riley has a strong open-source footprint—contributing backend fixes and feature work to TensorBoard and improving AMP's build and test infrastructure—demonstrating attention to reliability and developer experience. Comfortable across the stack, they’ve designed systems to preview AI-generated code and to expose the latest AI agents to users, highlighting a knack for turning research-grade models into usable, scalable tools. An early career in full‑stack startups and game-focused CS at UC Santa Cruz gives them a pragmatic, user-focused perspective that informs their infrastructure decisions.
5 years of coding experience
10 years of employment as a software developer
University of California Santa Cruz
English
Github Skills (18)
e2e-testing10
javascript10
ampl10
testing10
e2e-test10
typescript10
build-system10
feature-flags10
web-components10
accelerated-mobile-pages10
typescript-types10
e2e10
html10
typescripts10
redux9
Programming languages (3)
Github contributions (5)
tensorflow/tensorboard
Jun 2022 - Jan 2023
TensorFlow's Visualization Toolkit
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 673 reviews, 54 commits in 6 months
Contributions summary:Riley primarily contributed to the TensorFlow TensorBoard project by addressing bugs and implementing new features. Their work involved modifications to the web application's routing and feature flag components, indicating a focus on the backend functionality. The user's commits addressed issues related to query parameters, and serialization, and included general bug fixes to enhance the overall usability.
machine-learningtensorflowvisualization
ampproject/amphtml
Feb 2021 - Apr 2022
The AMP web component framework.
Role in this project:Front-end Developer
Front-end DeveloperContributions:316 reviews, 56 commits, 159 PRs in 1 year 2 months
Contributions summary:Riley's commits primarily focused on updating and modifying the AMP web component framework, specifically the `amphtml` repository. Contributions include converting `require` statements to `import`, adding features like a Safari web driver builder, and improving the build system through type-checking and JSDoc documentation. The user's work also involved fixing type errors across various build-system tasks and making adjustments to e2e tests to address flakiness.
web-componentscomponent-frameworkframeworkwebcomponentsweb-component
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