Summary
Peter Zvirinský is a CEO and co-founder with 11+ years building data-heavy ML systems and products, currently leading Rekenber to automate legal collections using OCR and generative models. He combines hands-on expertise in Python/Scala/C++ and large-scale data platforms (Hadoop/Spark/Hive) with product and underwriting experience from cyber insurance ventures where his models passed MunichRe due diligence. Previously he delivered ad-targeting and behavioral-targeting systems at Seznam.cz and helped deploy ML-driven KYC/AML at enterprise scale for Credit Suisse. A fan of continuous delivery and sound engineering practices, he favors solving hard problems with simple models and translating complex ML into auditable, business-ready systems. Based in Prague, he brings a rare mix of PhD-level theoretical grounding and practical startup execution across legal tech, cyber risk, and financial crime domains.
11 years of coding experience
8 years of employment as a software developer
PhD, Theoretical Computer Science, PhD, Theoretical Computer Science at Charles University in Prague
English, Hungarian, Slovak