Colorado Reed

Applied ML Research Scientist And Engineer at Apple

Seattle, Washington, United States
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Summary

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Senior
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Colorado Reed is an Applied ML Research Scientist and Engineer with 14 years of experience building production-ready AI systems and founding deep-technology startups. Currently at Apple after visiting Meta and conducting graduate research at UC Berkeley, he bridges rigorous academic research with hands-on engineering to move models from prototype to product. He co-founded and led engineering at multiple startups (Fraction, DotDashPay), giving him strong product instincts alongside research credentials. Early stints at JPL and Caltech’s LIGO group reflect a background in scientific computing and signal processing that informs his ML work. An active contributor to open-source backend projects like Metacademy’s application, he understands architecture-level refactors and practical feature delivery. Based in Seattle, he combines MPhil-level engineering training from Cambridge with PhD-level computer science work to tackle applied AI problems at scale.
code14 years of coding experience
job8 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California, Berkeley
bookMaster of Philosophy (MPhil), Engineering, Master of Philosophy (MPhil), Engineering at University of Cambridge
bookBachelor of Science (BSc), Applied Physics: Computer Science, Bachelor of Science (BSc), Applied Physics: Computer Science at University of Iowa
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Stackoverflow

Stats
51reputation
272reached
1answer
1question
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Github Skills (9)

backend10
back-end-development10
python10
django10
css7
html7
go6
google-app-engine6
google-cloud-datastore6

Programming languages (12)

TypeScriptC#DockerfileJavaC++CSSJavaScriptGo

Github contributions (5)

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Metacademy.org's application code
Role in this project:
userBackend Developer
Contributions:798 commits, 8 PRs, 13 pushes in 9 years 10 months
Contributions summary:Colorado primarily contributed to the backend logic of the Metacademy application. They implemented features like adding a roadmap list to the base HTML and sorting public roadmaps alphabetically. The user also refactored views and apps, and added a basic roadmap search, which involved changes to several core application files, demonstrating an understanding of the project's architecture and functionality.
javascriptnextjsreacttypescript
Contributions:6 commits, 1 push in 3 years 4 months
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Colorado Reed - Applied ML Research Scientist And Engineer at Apple