Harrison Resnick

Machine Learning Engineer at Apple

San Francisco, California, United States
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Summary

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Senior
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Top School
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.
code8 years of coding experience
job6 years of employment as a software developer
bookBachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of California, Berkeley
bookHigh School Diploma, High School Diploma at The Packer Collegiate Institute
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Stackoverflow

Stats
21reputation
0reached
1answer
0questions
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Github Skills (18)

mass10
visulization10
mass-spectrometry10
extensible8
spec8
modular7
visualization7
localization6
internationalization6
ios6
data-visualization5
command-line-interface2
shotgun2
pipeline2
graphical-user-interface1

Programming languages (2)

JavaR

Github contributions (5)

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hspekt/site

Aug 2019 - Mar 2024

Contributions:79 pushes, 1 branch in 4 years 7 months
hspekt/hms.github.io

Mar 2022 - Mar 2024

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:26 pushes in 2 years
templategithub-pages-templatemmistakesmistakesjekyll
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Harrison Resnick - Machine Learning Engineer at Apple