Paul Larsen is a data and AI leader and founder with nine years of hands-on experience applying advanced quantitative methods across startups, enterprise insurance, and financial services. He has led teams of 40+ data scientists, delivered production AI that saved an estimated 100k skilled FTE hours in pilots, and migrated large-scale CI/CD and repository ecosystems during enterprise transformations. With a PhD in mathematics and a Rhodes Scholar background, Paul blends deep theoretical insight with practical engineering—building data warehouses, automated entity-resolution pipelines, RAG systems, and cloud cost simulations. He regularly helps organisations jump-start AI innovation where existing approaches stall and is active in teaching applied mathematical finance and “AI for Security” at university level. Fluent in English and German and based in Slovenia, he often combines research-grade rigor with startup velocity to turn messy, semi-structured data into operational value.
9 years of coding experience
7 years of employment as a software developer
Completed all PhD candidacy requirements, started research before move with supervisor to Berlin, Mathematics, Completed all PhD candidacy requirements, started research before move with supervisor to Berlin, Mathematics at The University of Texas at Austin
MSc, History of Science and Technology, MSc, History of Science and Technology at University of Oxford
Dr. rer. nat., Mathematics, Dr. rer. nat., Mathematics at Humboldt-Universität zu Berlin
Contributions:57 commits, 32 pushes, 1 branch in 1 month
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