Thomas Faust is a data-driven technology leader and CTO based in Frankfurt with a decade of experience designing and operationalizing AI, cloud, and data infrastructure across finance and fintech. He progressed from hands-on roles in data science and DevOps to senior cloud leadership at KfW and AI lead at Neoloan, consistently bridging research-grade models with production systems. Comfortable shipping code and tests himself, he has contributed to open-source tooling such as a recipe-scraper project where he focused on test automation and scraper implementation for German sites. Thomas excels at translating ambiguous, unstructured data problems into robust, scalable cloud solutions while also driving team processes and cross-functional collaboration. Collected academic grounding from TU Darmstadt in probabilistic models and a practical track record distinguish him as a leader who still enjoys digging into the technical weeds.
Contributions summary:Thomas primarily focused on adding and improving the testing infrastructure for the recipe scraper project. They implemented a scraper for chefkoch.de, along with corresponding tests. The user wrote tests to validate the functionality of the chefkoch scraper, ensuring it correctly extracts data from the website. Furthermore, the user updated the project documentation, providing instructions on how to run a single unit test.
An example repository on how to implement Zitadel token introspection in a NestJs backend.
Contributions:60 PRs, 65 pushes, 1 branch in 1 year 5 months
nestjsoidcpassportzitadel
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