Ahmet Baglan is a Staff Data Scientist based in Copenhagen with 10 years of experience building production-grade GenAI systems for enterprise and regulated environments. He has led applied ML work across finance, insurance, and supply chain—delivering end-to-end solutions such as a GenAI PDF chat for underwriting, an SME credit-risk model, and supply-chain optimization modules that increased client profits. Comfortable bridging research and engineering, he has deep experience in model risk, PD calibration, VaR analysis and deploying ML into regulated workflows from his years at Nordea and BCG GAMMA. Now at Halfspace he focuses on scaling GenAI in production while maintaining compliance and robustness. Trained in applied mathematics and computer engineering (DTU) with an electrical engineering background, he blends strong quantitative rigor with pragmatic software craftsmanship. Outside work he’s a self-described “hacker” on GitHub, reflecting a hands-on curiosity that surfaces in automation and tooling projects.
11 years of coding experience
4 years of employment as a software developer
Ecole Centrale Paris
Galatasaray Lisesi
Technical University of Denmark
Bachelor's degree Elektrik ve Elektronik Mühendisliği, Bachelor's degree Elektrik ve Elektronik Mühendisliği at Boğaziçi Üniversitesi
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