Michael Lehenbauer is a seasoned software engineer and executive with 15 years of experience building developer-facing platforms and client SDKs, currently serving as an Entrepreneur in Residence in Kenmore, Washington. He was an early Firebase engineer and a key contributor and API lead on Cloud Firestore and Realtime Database, with deep expertise in offline data handling, SDK design, and developer tooling across iOS, Android, and JavaScript. Michael pairs systems-level backend work—refactoring write pipelines, offline state, and TypeScript typings—with product-minded front-end improvements, reflecting a rare full-stack fluency. He has led engineering teams at Microsoft and startups, designed critical infrastructure like Firebase Security Rules and Firepad, and is comfortable moving between hands-on implementation and technical strategy. Notably, his open-source contributions include substantive fixes and test/priming mechanisms in the widely used Firebase SDKs, demonstrating attention to reliability and developer experience.
15 years of coding experience
19 years of employment as a software developer
BS Computer Science and Math, BS Computer Science and Math at Rose-Hulman Institute of Technology
Contributions:1 review, 110 commits, 284 PRs in 1 year 6 months
Contributions summary:Michael primarily contributed to the Firebase Javascript SDK's internal workings. They made several improvements related to the TypeScript typings, addressing compile errors by removing incorrect type definitions. Additionally, the user worked on preventing build errors and improving test functionality by exposing internal methods for testing and addressing test flakiness. These contributions span various modules within the SDK, demonstrating a broad understanding of the project's underlying architecture.
Contributions:13 commits, 35 PRs, 50 pushes in 7 months
Contributions summary:Michael primarily contributed to the Firebase Android SDK, focusing on improvements to the Firestore component. Their work included fixing offline data retrieval issues, adding internal logging for developer errors, and implementing a priming mechanism for integration tests to address backend cold starts. Furthermore, they implemented support for POJOs, which significantly enhanced the usability of the API. Lastly, they addressed a series of minor fixes.
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