Ksawery Smoczyński is a Senior Machine Learning Engineer with eight years of hands-on experience building production ML systems across retail forecasting, ADAS vision, and probabilistic modeling. He progressed from internships and junior roles to senior engineering at Synerise, bringing practical expertise in time-series forecasting, semi-supervised depth estimation, and scalable ETL on Spark/Azure Databricks. A mathematician by training with a master's in Computational Modeling and Simulation, he favors vectorized, probability-driven approaches and pragmatic experimentation—summed up by his Robert Frost-inspired philosophy. He has integrated real-time vision HIL test stations with simulators and applied econometric and deep learning methods to retail POS and demand forecasting. Based in Greater Poland, he combines academic rigor with product-focused implementation, often turning research prototypes into deployable pipelines. Colleagues would note his uncommon blend of theoretical depth and attention to engineering details that make models robust in production.
8 years of coding experience
4 years of employment as a software developer
Licencjat (Lic.) Informatyka i Ekonometria, Licencjat (Lic.) Informatyka i Ekonometria at Poznan University of Economics And Business
Bachelor's degree Matematyka, Bachelor's degree Matematyka at Uniwersytet im. Adama Mickiewicza w Poznaniu
Master Computational Modeling and Simulation, Master Computational Modeling and Simulation at Technische Universität Dresden
Contenerized developement enviroment created for purpose of BS Thesis.
Contributions:103 commits, 8 PRs, 96 pushes in 2 years 2 months
developementenviromentthesispurpose
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Ksawery Smoczyński - Senior Machine Learning Engineer at Synerise