Ross Mabbett

Web Developer at Seeking a New Opportunity

New York, New York, United States
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Summary

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Rockstar
🎓
Top School
Ross Mabbett is a Web Developer and software engineer based in New York with three years of professional experience building intuitive, visually driven web applications across JavaScript/React, Ruby on Rails, Python, and modern databases. He blends a fine-arts background in New Media with formal software training from App Academy, giving him a strong eye for composition that informs accessible, interaction-first UI work. Ross has contributed front-end fixes and feature enhancements to the high-profile Apache Superset project—improving UI, test coverage, and dashboard interaction—demonstrating his ability to contribute to complex open-source data-visualization tooling. In roles ranging from custom WordPress theme development to full-stack engineering at Preset, he focuses on pragmatic refactors, legacy modernization, and reliable site-wide data processes. Known for approaching problems from unconventional angles, he pairs methodical engineering with creative problem-solving to deliver clean, engaging user experiences.
code3 years of coding experience
job1 year of employment as a software developer
bookBachelor of Fine Arts (B.F.A.), New Media & Creative Tech, Bachelor of Fine Arts (B.F.A.), New Media & Creative Tech at Rutgers University
bookSoftware Engineering, Software Engineering at App Academy
languagesEnglish, Dutch
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Github Skills (12)

typescript10
javascript10
typescripts10
front-end-development10
react10
typescript-types10
echarts9
data-visualization9
data-visualisation9
data-visualizations9
dashboard8
apache-superset7

Programming languages (2)

TypeScriptJavaScript

Github contributions (5)

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apache/superset

Oct 2023 - Oct 2024

Apache Superset is a Data Visualization and Data Exploration Platform
Role in this project:
userFront-end Developer
Contributions:65 reviews, 47 PRs, 7 pushes in 11 months
Contributions summary:Ross primarily contributed to the front-end components of the Apache Superset project. Their work involved fixing UI issues, such as improving the display of filter labels and SQL queries within modals. They also refactored tests from Enzyme to RTL. Furthermore, the user made adjustments to the dashboard's drag-and-drop functionality and implemented a feature for time shift color control in the ECharts plugin.
pythonapache-supersetflaskbusiness-analyticsbusiness-intelligence
rtexelm/sublimus

Nov 2022 - Feb 2023

My clone of the Criterion Collection site
Contributions:111 commits, 35 PRs, 58 pushes in 2 months
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Ross Mabbett - Web Developer at Seeking a New Opportunity