Oleksandr Lysenko is a Senior Applied Scientist based in Berlin with 15 years of engineering experience and over a decade turning research into production-grade ML systems. He currently leads deep-learning and NLP-inspired representation learning efforts at Zalando Payments, architecting real-time fraud and credit-risk pipelines that A/B tested to outperform classical models. His career blends software and data engineering roots with competitive ML success (ranked 6th globally in the Microsoft Malware Challenge), enabling him to design end-to-end solutions from data pipelines to low-latency inference and long-term monitoring. Previously he built data science functions and portfolio-impacting systems at FlixBus, Daimler and HERE, shipping everything from dynamic pricing and dispatching RL systems to large-scale spatial analytics. Known for bridging research and product, he regularly translates complex business requirements into technical roadmaps while mentoring cross-functional teams.
15 years of coding experience
17 years of employment as a software developer
Master's degree, Electronic Systems, Master's degree, Electronic Systems at Sumy State University
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Oleksandr Lysenko - Senior Applied Scientist at Zalando