Olekssy Lialka is a Senior Data Scientist based in Stockholm with eight years of experience building production ML systems for payments and finance, now applying that expertise at Visa after senior roles at Klarna and SoftServe. He specializes in predicting rare events and low-signal forecasting, combining neural networks, bespoke ML pipelines, and optimization to deliver decisioning systems in quantitative finance and risk. Comfortable across the full stack from research to deployment, he brings hands-on ML engineering background from IBM and consulting experience that sharpens stakeholder-driven solutions. A quantum computing enthusiast on GitHub, he blends curiosity about emerging computation with pragmatic delivery of high-impact, auditable models.
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