Rafał Klinowski is a PhD researcher and .NET/AI engineer with eight years of hands-on experience building and optimizing desktop applications and a growing research focus on deep learning for face authenticity detection. He combines practical software skills—WinForms/WPF, MS SQL, Entity Framework and Dapper—with academic expertise in convolutional neural networks, image processing, and statistical data analysis. A recent MEng (with honors) graduate now publishing on face spoofing detection, he bridges production-grade debugging and performance tuning with experimental ML research and conference-ready publications. Comfortable moving between freelance client delivery and rigorous research, he brings a pragmatic mindset to deploying robust vision systems and is actively exploring reinforcement learning and ensemble methods to harden face recognition pipelines.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Information Technology, Doctor of Philosophy - PhD, Information Technology at Uniwersytet Bielsko-Bialski
Bachelor of Engineering - BE, Information Technology, 4.5, Bachelor of Engineering - BE, Information Technology, 4.5 at The Silesian University of Technology
Contributions:3 releases, 37 commits, 21 pushes in 12 days
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Rafał Klinowski - PHD Researcher at Uniwersytet Bielsko-Bialski