Keaton Greve is a software engineer with 13 years of experience, currently building products at YouTube in the San Francisco Bay Area. A dual Computer Science and Mathematics graduate from the Raikes School, he combines strong engineering fundamentals with practical business sense. His background includes senior mobile platform work at Hudl where he led iOS and React Native initiatives, evangelized fastlane for build automation, and developed core Cocoa libraries for networking and internationalization. Keaton is an active open-source contributor to high-profile projects like fastlane, improving mobile CI/CD and iOS testing workflows. He also brings systems and audio-focused backend experience from hobby and legacy-revamp projects, demonstrating attention to tooling, automation, and cross-platform media handling. Based in Martinez, CA, he blends production-grade product delivery with a researcher’s eye for prototyping new mobile technologies.
13 years of coding experience
6 years of employment as a software developer
B.S., Computer Science, Mathematics, B.S., Computer Science, Mathematics at University of Nebraska-Lincoln
Contributions:8 reviews, 8 commits, 10 PRs in 1 month
Contributions summary:Keaton primarily focused on improving the resource generation and compilation scripts, adding flexibility in ROM path selection and error handling. They implemented changes to the DSP (Digital Signal Processor) code by using enum identifiers to improve readability and fixed issues related to audio rendering, particularly with mono audio. The user also added functionality for in-application volume adjustment, utilizing OS mixer on Windows platforms.
🚀 The easiest way to automate building and releasing your iOS and Android apps
Role in this project:
Mobile Developer (iOS) & Automation Engineer
Contributions:4 commits, 3 PRs, 32 comments in 2 years 1 month
Contributions summary:Keaton primarily contributes to the `fastlane` project by enhancing its functionalities and improving automation capabilities. The user fixed a bug related to the `automatic_release` setting and added a `release_type` configuration item to the hockey action, suggesting improvements for app deployment processes. The user also refactored and optimized the `scan` action, removing a separate report generation process and updating the test command generation, highlighting a focus on automation and testing within the iOS development workflow.
fastlaneandroid-appsappsdeploymentreact-native
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