Ozzie Kirkby
Software Engineer at Stealth Startup
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolOzzie Kirkby is a software engineer based in San Francisco with 11 years of experience building and improving production systems across startups and research settings. He has shipped work at Coinbase and Daylight Computer Co., progressed into engineering leadership, and now contributes to a stealth startup while bringing recent research engineering experience from UC San Diego. Ozzie focuses on backend robustness and code quality—evidenced by linting, dependency cleanup, and maintainability improvements in notable open-source projects like andymatuschak/orbit. His background in mechanical engineering gives him a systems-oriented approach to software design and pragmatic problem solving. Comfortable in fast-moving product teams, he combines hands-on coding with an eye for long-term maintainability and developer experience. Colleagues would describe him as a detail-minded engineer who elevates codebases through tooling and disciplined engineering practices.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Applied Science - BASc, Mechanical Engineering, Bachelor of Applied Science - BASc, Mechanical Engineering at Queen's University
French, English
Github Skills (8)
pretier10
prettify10
typescript10
typescripts10
eslint10
typescript-types10
javascript9
react5
Programming languages (8)
Github contributions (5)
andymatuschak/orbit
Apr 2021 - Sep 2022
Experimental spaced repetition platform for exploring ideas in memory augmentation and programmable attention
Role in this project:
Back-end Developer
Back-end DeveloperContributions:55 reviews, 153 commits, 31 PRs in 1 year 4 months
Contributions summary:Ozzie primarily focused on setting up and configuring linting tools and making subsequent code style adjustments across multiple packages within the repository. Their contributions included setting up and modifying the ESLint configuration file. They also removed unused dependencies and variables while disabling other elements as needed. These changes indicate a focus on code quality, consistency, and maintainability within the project.
pytorchmemorymemory-augmentationmnemonic-mediumdeep-learning
outflowapp/outflowapp.github.io
Oct 2015 - Mar 2024
Contributions:47 pushes, 1 branch in 8 years 5 months
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