Jan Kubant is a Co-Founder and CTO based in Prague with nine years of hands-on experience applying applied mathematics, modelling, and machine learning to real-world problems. He has led ML-driven projects across startups and consultancies, building anomaly-detection and UEBA systems in production using Scala (Apache Flink) and Python and advising clients as a freelance ML engineer. His background spans research in fuel-cell modelling to enterprise analytics at Deloitte, giving him a rare mix of experimental rigor and production engineering. As a founder he combines product-minded technical leadership with implementation chops, shipping end-to-end ML solutions. Comfortable working remotely and across cultures, he has even delivered projects while travelling through Latin America. He holds an honors Master’s in Applied Mathematics and brings a quantitative, problem-first approach to building scalable AI systems.
9 years of coding experience
5 years of employment as a software developer
Erasmus studies, Mathematics, Erasmus studies, Mathematics at Stockholms universitet
Master's degree, Applied mathematics, A, with honors, Master's degree, Applied mathematics, A, with honors at České vysoké učení technické v Praze
Contributions:13 reviews, 3 PRs, 6 pushes in 5 years 2 months
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