Kai Pöthkow is a Lead Data Scientist based in Berlin with 17 years of experience turning machine learning research into production-ready systems. He combines a Ph.D. in computer science with hands-on expertise in data science, software engineering, privacy-preserving data anonymization, visualization, and uncertainty quantification. Kai has held senior and principal roles at organizations including HERE Technologies and mbr targeting, where he bridges research-grade methods and robust engineering practices. He contributes to open-source projects such as the tangram-es map renderer, improving concurrency, JNI integration, and reliability under stress. Known for shipping pragmatic, auditable ML solutions, he brings an uncommon mix of deep academic training and low-level systems savvy to data-driven product challenges.
17 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Freie Universität Berlin
Contributions:10 commits, 9 PRs, 18 comments in 1 year 1 month
Contributions summary:Kai primarily focused on improving the `JobQueue` functionality, addressing thread safety issues, and enhancing the stress test. They also implemented a fix for string conversion in the Android JNI wrapper and corrected an initialization issue in the `Map` class. In addition, the user improved the codebase with clang-format and increased the maximum redirects for cURL.
Contributions:53 commits, 4 pushes in 9 years 11 months
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