Pavel Campr is a Director of Research and Development with 14+ years building large-scale AI systems for music, audio and video fingerprinting, automatic content recognition and Voice ID. He blends hands-on algorithm design in C++ and Python with strategic leadership, guiding multidisciplinary teams to deliver production-grade ML and high-performance computing solutions. His work spans cover-song identification, multimodal retrieval and massive data engineering pipelines, aligning research output tightly with product and business goals. Trained as a PhD in cybernetics and computer vision, he brings deep academic roots in multimodal analysis to real-world, high-throughput systems. Less obvious: alongside leading R&D he remains an active code reviewer and contributor to engineering practices that keep research reproducible and deployable at scale.
14 years of coding experience
19 years of employment as a software developer
Doctor of Philosophy (PhD), Cybernetics, Artificial Intelligence, Computer Vision, Doctor of Philosophy (PhD), Cybernetics, Artificial Intelligence, Computer Vision at University of West Bohemia, Pilsen
Machine learning, Neural networks, Computer graphics, Machine learning, Neural networks, Computer graphics at Technological Educational Institute of Crete
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Pavel Campr - Director Of Research And Development at Vobile