Spett
Software Engineer
Tokyo, Japan
Summary
🤩
RockstarSpett is a Tokyo-based software engineer with six years of hands-on experience and a strong footprint in open-source development. As a full-stack contributor to Kanaries' RATH project, they have driven front-end feature work and UI refactors while also enhancing the ClickHouse connector with customizable back-end configurations. Comfortable spanning UI and infrastructure, Spett focuses on pragmatic improvements that boost usability and data-connectivity in exploratory visualization tooling. Despite being a high school student per their GitHub bio, they collaborate professionally on significant OSS projects and are a go-to for questions about graphic-walker and RATH. Their blend of early-career energy, cross-stack fluency, and practical contributions to a next-generation data visualization platform make them a valuable asset for teams building data-first web applications.
6 years of coding experience
Github Skills (13)
typescript10
javascript10
typescripts10
front-end-development10
react10
typescript-types10
data-visualisation9
data-visualization9
data-exploration9
data-visualizations9
databases8
sql-database8
data-integration8
Programming languages (3)
Github contributions (5)
Kanaries/Rath
Jan 2020 - Dec 2022
Next generation of automated data exploratory analysis and visualization platform.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:7 reviews, 123 commits, 40 PRs in 2 years 11 months
Contributions summary:Spett primarily contributed to the front-end of the `rath` repository, implementing new features and improving the existing user interface. Their work involved integrating search pages into the gallery, refactoring code in the gallery index, and fixing warnings. Additionally, the user made improvements to the ClickHouse connector, including more custom configurations, demonstrating back-end knowledge.
pythonaugmented-analyticvisualizationsreconciliationdatamining
jojocys/Rath
Aug 2022 - Sep 2022
Automated data exploratory analysis and visualization tools.
Contributions:16 pushes in 1 month
data-analysispythonexploratorydata-visualizationexploratory-analysis
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