hoonji
Software Engineer at Google
Summary
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RockstarSoftware Engineer with 8 years of experience, currently contributing to front-end work at Google and active in high-profile open-source projects. Notable contributions to TensorFlow's TensorBoard include UI-focused improvements like a runs table filterbar with hparam filters, removal of obsolete Angular entry components, and performance-minded refactors using memoization to avoid redundant computation. Comfortable shipping polished user interfaces for complex ML tooling, bridging product needs and engineering rigor. Demonstrates a pragmatic approach to legacy code cleanup and measurable UI performance gains, suggesting strengths in maintainability and developer ergonomics.
8 years of coding experience
Github Skills (9)
tensorboard10
typescript10
javascript10
user-interface10
typescripts10
typescript-types10
angular10
html9
css9
Programming languages (7)
Github contributions (5)
tensorflow/tensorboard
Nov 2023 - Sep 2024
TensorFlow's Visualization Toolkit
Role in this project:
Front-end Developer
Front-end DeveloperContributions:132 reviews, 57 PRs, 63 pushes in 10 months
Contributions summary:hoonji primarily contributed to the front-end components of the TensorFlow TensorBoard project, focusing on the user interface. Their work involved removing obsolete code, specifically concerning entry components in Angular modules. They implemented a filterbar for the runs table, incorporating hparam filters and related UI elements. The user also refactored and updated various components and data tables for better performance, including the addition of memoization to prevent redundant computations.
machine-learningtensorflowvisualization
hoonji/tensorboard
Nov 2023 - Aug 2024
TensorFlow's Visualization Toolkit
Contributions:2 PRs, 41 pushes, 30 branches in 9 months
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