Nathaniel Tracy-amoroso

Performance Engineer at Apple

Seattle, Washington, United States
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Summary

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Senior
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Top School
Nathaniel Tracy-amoroso is a performance-focused software engineer with nine years of experience blending compilers, parallel programming, and web engineering to optimize real-world applications. Currently at Apple, he drives cross-stack launch-time and bandwidth optimizations while previously delivered major cost and CI improvements at Microsoft that cut Azure spend by 85% and doubled pipeline speed. He has deep systems chops—C++, C#, incremental compilation and Chromium embedding—paired with full-stack product work from university web apps to production ad features supporting multi-billion dollar revenue. Nathaniel’s background in high-throughput scientific computing and building searchable materials databases shows an ability to translate research-scale computation into usable services. Based in Seattle, he thrives in technically rigorous teams and has a quiet, pastoral Github persona that belies a practical focus on shaving milliseconds and dollars from complex systems.
code9 years of coding experience
job5 years of employment as a software developer
bookMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Northwestern University
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Stackoverflow

Stats
1,834reputation
68kreached
88answers
19questions
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Github Skills (107)

bash10
duplicates10
distro10
email-validation10
neofetch10
script10
email-verification10
system-information9
cli9
command-line-tool9
command-line9
indieweb9
dfinity9
email-address9
wasapi9

Programming languages (11)

TypeScriptShellC++CRustJavaScriptGoPHP

Github contributions (5)

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n8ta/n8ta.com

Sep 2020 - Aug 2024

Contributions:200 pushes, 1 branch in 3 years 11 months
n8ta/Herpetology

May 2019 - Feb 2022

A learning and competitive platform for identifiying reptiles and amphibeans.
Contributions:409 commits, 390 pushes, 2 branches in 2 years 9 months
reptilespythonmachine-learningcompetitive
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Nathaniel Tracy-amoroso - Performance Engineer at Apple