Ferdinand Urban is a back-end engineer and system architect with 10+ years of experience building production-ready APIs, data pipelines, and DevOps-centric platforms at the intersection of AI, automation, and software supply chain security. He has delivered end-to-end systems for live event analytics and large-scale traffic and infrastructure data workflows, and currently focuses on SBOMs, dependency analysis, and CI/CD integrations. Comfortable across Python, Java, Kotlin, Swift and cloud-native tooling, he blends machine learning, backend engineering and observability to make complex systems simple and maintainable. Ferdinand’s background ranges from embedded/aerospace software to leading ML-driven multimedia teams, giving him a rare combination of low-level rigor and product-focused delivery. He’s particularly interested in AI-powered developer tooling and has a track record of turning “impossible” problems into shipped solutions.
10 years of coding experience
17 years of employment as a software developer
PhD, Electrical engineering, PhD, Electrical engineering at Brno University of Technology
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Ferdinand Urban - Back End Developer at Yunex Traffic