Benjamin Kane

... at Voxel51

United States
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Summary

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Rockstar
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Benjamin Kane is a front-end software engineer with nine years of experience, currently contributing to Voxel51 on visual AI tooling. He focuses on React-based interfaces and state management (Recoil) to improve data visualization and dataset inspection in the open-source FiftyOne project. His work emphasizes code quality—refactoring, layout improvements, and UI fixes—showing an attention to maintainability and collaboration through resolving merge conflicts. Trained in Computer Science & Engineering at the University of Michigan, he combines solid engineering fundamentals with practical product-facing UI skills. Based in the United States, he brings long-term continuity to a specialized AI tooling team, pairing deep frontend craft with domain knowledge in visual datasets. An often-overlooked strength is his habit of improving developer experience alongside user-facing features, making contributions that ease future enhancements.
code10 years of coding experience
bookB.S.E., Computer Science & Engineering, B.S.E., Computer Science & Engineering at University of Michigan College of Engineering
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Github Skills (11)

typescript10
typescripts10
recoiljs10
react10
typescript-types10
ui-components10
ui-design9
javascript9
visualization8
computer-vision8
visualizations8

Programming languages (5)

TypeScriptJavaScriptGoJupyter NotebookPython

Github contributions (5)

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voxel51/fiftyone

Apr 2020 - Jan 2023

Refine high-quality datasets and visual AI models
Role in this project:
userFront-end Developer
Contributions:79 releases, 1817 reviews, 5058 commits in 2 years 9 months
Contributions summary:Benjamin's commits primarily focus on modifying the React-based front-end components within the FiftyOne framework. Specifically, the user is cleaning up code, refactoring components, and incorporating changes related to displaying data distributions and visualization within the application. These commits show changes to React components, Recoil state management, and overall layout of the application. The contributions also involve resolving merge conflicts and adding UI-related fixes, demonstrating an understanding of front-end development practices.
aimachine-learningartificial-intelligencedeep-learningcomputer-vision
meehawk/fiftyone

Jun 2020 - Apr 2021

The open-source tool for building high-quality datasets and computer vision models
Contributions:73 commits in 10 months
computer-vision
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