Peter Tegelaar is a seasoned product and AI executive with 11 years of experience building data-driven decision systems for fintechs, banks, and growth-stage software companies across Europe and the U.S./U.K. Currently Chief Product and AI Officer at Silk River and operating as a Fractional Chief AI Officer, he combines strategy with hands-on delivery to deploy agentic AI, scoring models, and real-time decisioning in regulated, operationally complex environments. He previously scaled Klarna’s Data Science organisation from 20 to 110+ people, led AI and decision science at Stenn to deploy LLM-based document checks and ML-powered credit decisioning, and drove revenue-driving pricing and recommendation systems at Catawiki. Known for moving models from prototype to production, he has repeatedly reduced fraud and credit risk while improving throughput and accuracy (e.g., document check accuracy jump to ~99%). Based in Berlin with a cum laude MSc in Economics and an early YC founder background, he blends quantitative rigor, product sensibility, and startup grit. He often surfaces high-leverage AI opportunities through short sprints, making complex ML investments actionable and auditable.
11 years of coding experience
11 years of employment as a software developer
The University of Hong Kong (HKU)
Master of Science (M.Sc.) Economics (cum laude), Master of Science (M.Sc.) Economics (cum laude) at University of Amsterdam
Bachelor of Science (B.Sc.) Economics and Business, Bachelor of Science (B.Sc.) Economics and Business at University of Amsterdam - Amsterdam Business School
This is example repo illustrates the concept of a "Pull Request", created as part of the course How to Use Git and GitHub
Contributions:2 commits in 1 day
pull-requestspull-requestexample-reporequest
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