Rich Kadel is a seasoned software engineer with 12 years of experience building systems-level infrastructure, compiler tooling, and platform services for companies like Meta and Google. Based in San Diego, he has driven large-scale ranking and monetization infrastructure at Meta while previously architecting core features of Fuchsia OS—authoring RFCs, enabling rustc source-based coverage, and improving hermetic testing. His open-source contributions span high-profile projects such as Google Cloud Python and the Flutter engine, where he fixed BigQuery/Storage issues and modernized Fuchsia build and test tooling. Rich combines deep systems and Rust expertise with practical backend and automation skills, having shipped spatial OS features and performance improvements for Meta Quest. He has a history of leading cross-team technical efforts and boosting developer productivity through tooling and AI-assisted practices. His background in distributed systems, compilers, and platform engineering gives him a rare blend of low-level systems insight and production-focused delivery.
12 years of coding experience
30 years of employment as a software developer
Bachelor of Science - BS (summa cum laude), Computer Science (Math), Bachelor of Science - BS (summa cum laude), Computer Science (Math) at Davis and Elkins College
Master of Science - MS (with distinction), Software Engineering, Master of Science - MS (with distinction), Software Engineering at National University
Contributions:36 reviews, 12 commits, 16 PRs in 1 year 8 months
Contributions summary:Rich contributed to the Flutter engine, adding support for Python3 in build processes via GN targets and related scripts. They also made changes to build rules for tests using Fuchsia SDK Dart libraries and bindings, focusing on tools and scripts. Furthermore, the user migrated integration tests related to Flutter embedders, addressing dependency and build issues within the fuchsia.git repository.
Contributions:4 commits, 6 PRs, 15 comments in 2 months
Contributions summary:Rich primarily contributed to the Google Cloud Python client library, focusing on BigQuery and Storage functionalities. Their work involved bug fixes related to partitioned table creation and the implementation of view features, specifically adding support for 'useLegacySql=False' in BigQuery views. These changes required code modifications to both the core BigQuery and Storage modules, and included related unit tests to ensure correct functionality.
gcpappenginepythongoogleclient-library
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