Summary
Mathias Ibsen is a Machine Learning Engineer with a decade of experience building NLP and AI-driven fraud detection systems, currently working at ATP after progressing from data science into engineering roles. He combines academic rigor—a PhD researcher affiliated with ATHENE and a Horizon 2020 fellowship—with hands-on production experience in banking and enterprise software. His background spans research-grade applied cybersecurity and practical stacks (C#, ASP.NET, SQL, DevOps), enabling him to bridge models and operational systems reliably. Awarded for contributions in applied AI, he focuses on turning complex language and security problems into scalable, auditable solutions. Based in Copenhagen, he brings both European research pedigree and real-world delivery experience to high-stakes AI systems.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Darmstadt University of Applied Sciences
Bachelor of Science - BS, Software, Bachelor of Science - BS, Software at Aalborg University
Technical University of Denmark