Younghoon Kim
Software Engineer at Databricks
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolYounghoon Kim is a software engineer in Seattle with 11 years of experience combining research rigor from a Ph.D. program at the Paul G. Allen School and practical production experience at Databricks, Microsoft, and Apple. He specializes in front-end systems and data visualization, contributing meaningful enhancements to the widely used vega-lite project by extending filter expressions and improving documentation and test coverage. At Databricks he applies scalable engineering practices to data-intensive products, leveraging a solid academic foundation (MS CS, University of Washington) and industry internships to bridge research and product delivery. Early-career work in risk management software gives him a pragmatic appreciation for reliability and correctness in real-world systems. Colleagues value him for clear technical writing, attention to test-driven improvements, and an ability to translate complex specs into robust, user-facing features.
11 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science and Engineering, Master of Science - MS, Computer Science and Engineering at University of WashingtonBachelor of Science - BS, Electrical and Computer Engineering, Bachelor of Science - BS, Electrical and Computer Engineering at Seoul National University
Github Skills (11)
charts10
typescript10
javascript10
visualization10
typescripts10
visualizations10
vega-lite10
typescript-types10
declarative9
declarative-programming9
testing8
Programming languages (4)
Github contributions (5)
vega/vega-lite
Jan 2016 - Oct 2022
A concise grammar of interactive graphics, built on Vega.
Role in this project:
Front-end Developer
Front-end DeveloperContributions:17 reviews, 22 commits, 32 PRs in 6 years 9 months
Contributions summary:Younghoon primarily contributed to the `vega-lite` repository by extending the filter object to support more complex filtering operations and to improve documentation of the filtering features. They implemented functionalities for 'negate', 'gt', 'gte', 'lt', and 'lte' operators within the filter expressions. They made changes to the test files to include comprehensive tests that validate filter expressions. They also corrected typos and updated the documentation.
chartsinteractive-graphicsvisual-analysisplotgrammar
uwdata/gemini
Jun 2020 - Jun 2021
A grammar and recommender system for animated transitions in Vega/Vega-Lite
Contributions:1 release, 52 commits, 25 pushes in 1 year
recommenderanimatedgrammartransitionsvega
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