Tamas Kalman is a Lead AI Product Engineer based in Sacramento with 13+ years of hands-on experience building scalable, geo-distributed systems and co-founding multiple startups. He blends full-stack product engineering, platform and DevOps leadership, and deep domain experience in blockchain transaction monitoring for compliance and risk detection. Currently he designs agentic automation and multi-agent orchestration frameworks that move AI from experiments into reliable, autonomous workflows. At companies from Prezi and StumbleUpon to TRM Labs and Upwage he has repeatedly optimized performance and reliability for high-throughput systems. An active engineer who also improves test automation (e.g., token-based auth and unit test refactors on a Firebase PHP client), he pairs pragmatic coding skills with product-level thinking. Colleagues rely on him for turning complex engineering problems into maintainable, production-ready solutions.
Contributions:61 commits, 23 PRs, 40 pushes in 8 years 3 months
Contributions summary:Tamas focused on adding token-based authentication to the Firebase PHP client, modifying the `firebaseLib.php` file to include token handling. They also updated the code, including lowercase class keywords and introducing query options. Furthermore, the user made significant changes to the testing framework, refactoring and fixing unit tests in `firebaseStub.php` and `firebaseStubTest.php`, demonstrating a clear understanding of testing methodologies within the project.
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