Summary
Daniel Bimschas is a seasoned software engineer with 15+ years building cloud-native, event-driven systems and integrating AI/ML from prototype to production. He has scaled engineering teams (3→12) while remaining hands-on across backend, web, mobile, CI and infra, and is fluent in Typescript, Java, Scala and Python. His work spans high-performance distributed architectures—globally replicated multi-leader writes and schedule-optimized video transcoding—alongside recommendation and fraud-detection systems. As an empathetic leader he cultivated engineering culture, ran knowledge-sharing programs for AI/ML, and shaped product-technical strategy in leadership roles. Now based in North Denmark, he combines academic research experience with consultancy-honed pragmatism to deliver robust, measurable systems. A practical systems thinker, he often bridges data science and engineering to enable algorithm versioning, testing strategies and reproducible deployment.
15 years of coding experience
21 years of employment as a software developer
Master of Science (M.Sc.), Computer Science, Master of Science (M.Sc.), Computer Science at Universität zu Lübeck
English, German, French, Danish, Spanish