Szymon Sadkowski is a software and machine learning engineer with eight years of experience building production ML pipelines and developer tooling, currently working at Amazon after recent contributions to neptune-ai's client library. He blends academic training in machine learning from the University of Warsaw with hands-on roles across startups and enterprise environments, from designing resource-allocation AutoML time-series systems to CV dataset and model development. Szymon has driven end-to-end ML projects—such as predicting optimal drug administration timing in IVF—and repeatedly moved prototypes into reliable pipelines. Based in Dublin, he combines practical engineering rigor with a researcher’s curiosity, staying active in open-source tooling and eager for challenging projects that bridge ML research and scalable software.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Uniwersytet Warszawski
Master's degree, Machine Learning, 5, Master's degree, Machine Learning, 5 at University of Warsaw
Repository for XAI project class (Explainable Machine Learning).
Contributions:1 review, 7 PRs, 6 pushes in 2 months
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