Sarah Abowitz is a PhD candidate in computer science at Tufts with nine years of software development and research experience spanning full-stack web, Android, VR, and backend systems. She combines academic rigor—working on the Perseus Digital Library to make classical commentaries more accessible to language learners—with industry experience from internships at Google and Dynatrace and security work at Helpful Engineering. Her projects blend natural language and systems thinking: from NLP pipelines analyzing Latin corpora to tooling for secure supply-chain data exchange. A pragmatic engineer who ships end-to-end features, she’s comfortable from design docs to implementation and testing. Off the clock she expresses mathematical creativity through “math knitting,” including a skirt encoding the adjacency matrix of a 126-vertex Johnson graph, reflecting a taste for playful, data-driven craft.
9 years of coding experience
3 years of employment as a software developer
Computer Science, Computer Science at Smith College
A beta test gallery featuring scans of a certain learning collection at Smith.
Contributions:16 PRs, 23 pushes, 17 branches in 2 years 1 month
gallerysmithscansbeta-test
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