Swojit Mohapatra is a software engineer with nine years of experience building scalable APIs and front-end features, currently working on Lyft’s communications platform from Seattle. He brings a strong foundation from Microsoft Maps and multiple Microsoft internships where he designed API infrastructure, denormalized large-scale logs, and built visualization tooling. A University of Washington CS alum, Swojit is an active open-source contributor to Vega-Lite, improving UI, encoding rules, and data transformations for a widely used visualization grammar. He has practical performance and migration wins from internships at Uber (npm to Artifactory, performance boosts) and a track record of shipping end-to-end services and tooling. Colleagues describe him as a pragmatic full-stack engineer who moves fluidly between backend infra and front-end polish, with an uncommon knack for turning visualization research into production-quality features.
9 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree, Computer Science, 3.59, Bachelor’s Degree, Computer Science, 3.59 at University of Washington
Class 10, School, 92.5%, Class 10, School, 92.5% at New Stewart School
High School, CBSE 12th Science, 11 and 12, High School, CBSE 12th Science, 11 and 12 at DAV Public School CDA
A concise grammar of interactive graphics, built on Vega.
Role in this project:
Full-stack Developer
Contributions:23 commits, 26 PRs, 145 pushes in 1 year 2 months
Contributions summary:Swojit primarily contributed to the development of Vega-Lite's front-end features, focusing on UI improvements and example enhancements. They addressed various aspects of the user interface, including color scheme updates, layout adjustments, and example gallery modifications. Furthermore, they implemented changes to axis encoding rules and label formatting. The user also participated in data transformations and improved the handling of binning operations.
Contributions:2 PRs, 5 pushes, 2 branches in 1 year 7 months
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