Harrison Resnick is a Machine Learning Engineer with eight years of experience building user-facing intelligence at Apple, where he’s focused on i18n/l10n and features like Memory Creation, semantic search, and Call Screening. He has a strong iOS and full-stack background from startups and early-stage roles, including founding engineer experience at a YC-backed company. Harrison has shipped multiple Xcode localization features and diagnostics that prevented thousands of manual checks, demonstrating an emphasis on scalable tooling and developer UX. His work bridges applied ML, product-quality engineering, and localization at scale—often surfacing subtle internationalization edge cases before they reach users. Based in San Francisco and trained at UC Berkeley, he also explores biology through mass spectrometry in his spare time, signaling a curiosity that spans both software and scientific domains.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of California, Berkeley
High School Diploma, High School Diploma at The Packer Collegiate Institute
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Harrison Resnick - Machine Learning Engineer at Apple