Senior Deep Learning Engineer at Pázmány Péter Catholic University - Faculty of Information Technology and Bionics
Budapest, Hungary
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Summary
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Senior
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Bálint Magyar is a Senior Deep Learning Engineer based in Budapest with eight years of experience building and deploying computer vision and medical AI solutions. He combines strong object-oriented programming and code-optimization skills with hands-on expertise in TensorFlow, PyTorch and production pipelines (Docker, TensorRT) to move research into FDA-focused regulated products. His background spans industry R&D at Verizon and Argus Cognitive, academic PhD research on 2D/3D cardiac ultrasound, and translational projects for neurodegenerative and epilepsy outcome prediction. A collaborative international teammate, he designs active-learning annotation pipelines and virtualized training workflows that speed model iteration and deployment. He is a decorated scholar and competition winner who repeatedly bridges deep research with real-world embedded and clinical applications. An unusual asset: he has direct experience navigating regulatory approval processes while concurrently leading cutting-edge CV research.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Applied Science (B.A.Sc.), Engineering Information Technology, Bachelor of Applied Science (B.A.Sc.), Engineering Information Technology at Óbuda University
Erasmus, Computer Vision, Erasmus, Computer Vision at University of Koblenz and Landau
Master of Science - MS, Info-Bionics Engineering, Master of Science - MS, Info-Bionics Engineering at Pázmány Péter Chatolic University
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Bálint Magyar - Senior Deep Learning Engineer at Pázmány Péter Catholic University - Faculty of Information Technology and Bionics