Nathan Cook is an Engineering Project Manager and seasoned developer with 12 years of software experience, currently leading engineering efforts at Apple after internships at Amazon and JPMorgan Chase. He blends strong object-oriented coding in Java, Python, Kotlin, and deep involvement in the Swift ecosystem—contributing to core projects like the Swift language, swift-algorithms, and swift-format—to improve language features, testing, and tooling. Skilled at both front-end and back-end work, he has shipped features across mobile, web, and cloud (AWS) environments and improved test automation and CI stability for large codebases. A former instructor and hackathon team lead, he pairs technical mentorship with product-focused delivery and a knack for clear technical writing, demonstrated by documentation contributions to the Swift book and NSHipster. Based in New York and studying Computer Science at Cornell, he brings a rare mix of systems-level Swift expertise, practical cloud engineering, and a creative background in chess and poetry that informs his problem-solving approach.
11 years of coding experience
2 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Cornell University
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Villanova University
High School Diploma, High School Diploma at Stuyvesant High School
Straightforward, type-safe argument parsing for Swift
Role in this project:
Back-end Developer & Test Automation Engineer
Contributions:30 releases, 184 reviews, 170 commits in 2 years 11 months
Contributions summary:Nathan primarily contributed to improving the project's testing infrastructure and addressing code quality issues. Their work included fixing failing tests, enhancing the structure and functionality of the test suite, and correcting validation errors in the codebase. Furthermore, the user implemented a new feature that enables a command to exit without printing an error, contributing to more robust program handling. The user also refactored code to improve its readability and maintainability.
Commonly used sequence and collection algorithms for Swift
Role in this project:
Back-end Developer
Contributions:8 releases, 130 reviews, 44 commits in 1 year 5 months
Contributions summary:Nathan primarily contributed to the `swift-algorithms` repository by adding and modifying core algorithm implementations. Their work included adding documentation to existing algorithms like `rotate` and `reverse`, as well as renaming methods and adding inlinability annotations to improve performance. The commits focused on enhancing the functionality and documentation of sequence and collection algorithms in Swift.
itertoolssequencedatastructurescommonlyiterator
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Nathan Cook - Engineering Project Manager at Apple