Thomas Matecki is an engineering manager with a decade of experience leading backend teams and shipping production-grade systems across startups and large enterprises, now scaling infrastructure and product at Pinterest after tvScientific's acquisition. He blends hands-on engineering—contributing to popular open-source tooling like the Python RQ job queue by expanding job dependency models—with strategic leadership that has repeatedly guided teams through acquisitions and fast MVP delivery. Comfortable in both fintech and ad tech domains, he has led core API and platform work for Beeswax/FreeWheel and technical efforts within Capital One's Card Tech group. A Cornell Tech M.Eng. with a math background, he pairs rigorous problem-solving with pragmatic delivery, often improving core developer ergonomics and system flexibility behind the scenes.
10 years of coding experience
12 years of employment as a software developer
Northern Virginia Community College
Master of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at Cornell Tech
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at James Madison University
Contributions:12 commits, 16 PRs, 47 comments in 6 months
Contributions summary:Thomas primarily focused on enhancing the `rq/rq` library's job dependency features, modifying the internal API to support multiple dependencies for jobs. Their contributions involved refactoring code to track dependencies using lists of IDs instead of single IDs and adding related methods. They also updated tests to reflect these changes and ensure compatibility with other libraries that rely on `rq`. These modifications demonstrate a focus on improving the core functionality and flexibility of the job queue system.
Contributions:1 PR, 9 pushes, 1 branch in 3 years 8 months
cryptographyprimitivesschemescrypto
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