Riley Bauer
Software Engineer at AidKit
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolRiley Bauer is a Seattle-based software engineer with 11 years of experience building user-focused front-end systems and polished UI/UX flows. Having held multiple software engineering roles at Google and now contributing at AidKit, Riley blends large-scale product experience with hands-on implementation. Riley has notable open-source contributions to the prominent Kubeflow Pipelines project, improving graph visualizations, metrics tables, and overall UX—skills that show a strong eye for shipping data-heavy interfaces. With a background in computer science and mathematics, Riley pairs analytical rigor with practical design sensibilities and a history of early-career work spanning mobile and web prototypes to UAV research.
11 years of coding experience
4 years of employment as a software developer
Bachelor's Degree, Computer Science and Mathematics, Bachelor's Degree, Computer Science and Mathematics at State University of New York College at Brockport
Github Skills (9)
ux-design10
typescript10
typescripts10
front-end-development10
ui-design10
react10
typescript-types10
kubeflow-pipelines9
css9
Programming languages (8)
Github contributions (5)
kubeflow/pipelines
Nov 2018 - Oct 2019
Machine Learning Pipelines for Kubeflow
Role in this project:
Front-end Developer & UI/UX Focused
Front-end Developer & UI/UX FocusedContributions:2 releases, 88 commits, 89 PRs in 11 months
Contributions summary:Riley primarily contributed to the front-end components of the Kubeflow Pipelines UI. They implemented new UI features, including the display of metrics tables. They also made significant improvements to the graph visualization and overall styling of the UI. Furthermore, the user focused on improving the user experience by refining UI button styles and fixing the display of components.
kubeflowmachine-learningkubeflow-pipelinesmlopskubernetes
rileyjbauer/pipelines
Dec 2018 - Sep 2019
Machine Learning Pipelines for Kubeflow
Contributions:2 PRs, 344 pushes, 116 branches in 9 months
kubeflowmachine-learning
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