Oleksandr Lysenko

Senior Applied Scientist at Zalando

Berlin, Germany
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Summary

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Senior
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Top School
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.
code15 years of coding experience
job17 years of employment as a software developer
bookMaster's degree, Electronic Systems, Master's degree, Electronic Systems at Sumy State University
bookArtificial Intelligence Nanodegree, Artificial Intelligence, Artificial Intelligence Nanodegree, Artificial Intelligence at Udacity
languagesEnglish, Ukrainian
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304reputation
6kreached
5answers
0questions
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Github Skills (43)

logit10
convolutional-neural-networks10
simulator10
data-science10
machine-learning10
simulation-framework10
pymc10
mobility10
jupyter-notebook10
python9
simulations9
mathematics9
statistics9
autonomous-vehicles9
bayesian-methods9

Programming languages (7)

TypeScriptJavaGoHTMLJupyter NotebookVim ScriptPython

Github contributions (5)

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sash-ko/ml-playground

May 2020 - Dec 2021

Fun machine learning stuff
Contributions:2 PRs, 82 pushes, 3 branches in 1 year 7 months
optunamachine-learning
sash-ko/simobility

Jan 2020 - Dec 2020

simobility - light-weight mobility simulation framework. Best for quick prototyping
Contributions:2 releases, 235 commits, 7 PRs in 11 months
simulation-frameworkmobilitymobility-modelingautonomous-vehiclesoptimization-algorithms
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