Phillip Baker is a Senior Engineering Manager based in the New York City area with 13 years of experience leading backend and infrastructure teams across cloud-native companies like Datadog and DigitalOcean. He blends hands-on engineering—contributing to open-source projects such as a Terraform Elasticsearch provider and core DigitalOcean API clients—with people leadership, delivering reliable platform features and developer tools. His background spans Ruby, Go, and cross-platform mobile work, evidencing an ability to operate across stacks and lifecycle stages from SDKs to production services. Known for pragmatic problem solving, he has shipped version-compatible integrations and tooling improvements that eased operator workflows and API ergonomics.
Contributions:347 commits, 71 PRs, 283 pushes in 6 years 11 months
Contributions summary:Phillip primarily worked on improving the Ruby backend code for the Vanity project. Their contributions included adding accessible attributes, handling mass assignment scenarios, and implementing settings for whitelisting attributes in Active Record models. They also added and modified code related to command-line interface (CLI) usage and functionality. Additionally, the user made contributions related to Rails framework integration and improving the core A/B testing features.
Provide Fingerprint, Touch ID, and Face ID Scanner for React Native (Compatible with both Android and iOS)
Role in this project:
Mobile Developer (Android/iOS)
Contributions:35 commits, 28 PRs, 37 pushes in 2 years 8 months
Contributions summary:Phillip primarily contributed to the React Native fingerprint scanner library, addressing platform-specific issues and enhancing the example application. Their work included fixing Android compilation errors, updating the example app for newer React Native versions, and adding support for React Native >= 0.60. They also differentiated iOS availability error codes and modified Android code to improve fingerprint state management and support the latest Android libraries.
faceidmeizufingerprintiosface-id
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