Sam Horradarn is a software engineer with a decade of experience building production-grade systems across consumer AI, data platforms, and interactive visualization. Based in Seattle, he has shipped features at scale at Apple (ML/data platform and Siri WebAnswers), contributed engineering leadership at XetHub, and recently joined Hugging Face following an acquisition. He is an active open-source contributor to Vega-Lite, where he improved performance, added custom sort and scale options, and cleaned up documentation—work that directly impacts how analysts and researchers create interactive visualizations. Sam blends full-stack instincts with a strong data and ML tooling background, able to move projects from prototype to production while refining developer experience. Notably, his trajectory includes research work at the Interactive Data Lab and internships at Google and Yahoo, reflecting a long-standing focus on data-driven interfaces.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of Washington
A concise grammar of interactive graphics, built on Vega.
Role in this project:
Full-stack Developer
Contributions:21 commits, 30 PRs, 90 pushes in 2 years 1 month
Contributions summary:Sam made substantial contributions to the Vega-Lite project, focusing on improving the code base and updating the documentation. They removed unnecessary string literals and namespaces, contributing to code cleanup and efficiency. Furthermore, the user added new features such as custom sort order, refined the documentation by splitting files, and implemented new scale options, improving the library's functionality and documentation. They also fixed formatting issues, and refactored the codebase.
Contributions:33 pushes, 4 branches in 1 year 1 month
visual-analysisgrammarhigh-levelvegaon-top
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