Machine Learning Research Engineer at KTH Royal Institute of Technology
Stockholm, Stockholm County, Sweden
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Rajmund Nagy is a Machine Learning Research Engineer and KTH master's/PhD-level researcher with nine years of engineering experience, combining deep generative-model research for character animation and gesture generation with a solid production background in C++ systems. At KTH he develops probabilistic gesture models using normalizing flows to create more meaningful, affective virtual agents, and has collaborated internationally on speech-driven gesticulation research (see gesticulator repo). His prior work as a C++ software engineer on SCADA platforms honed his skills in integration testing, defect analysis, and agile delivery across Windows and Linux. Rajmund bridges rigorous academic research and practical engineering, comfortable moving models from concept to reproducible code and real-world system constraints. Notably, he pairs expertise in deep generative models with low-level systems experience—a blend that accelerates deployment of research into interactive robotics and virtual-human applications.
9 years of coding experience
1 year of employment as a software developer
Master's degree, Machine Learning, Master's degree, Machine Learning at KTH Royal Institute of Technology
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at Eötvös Loránd University
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Rajmund Nagy - Machine Learning Research Engineer at KTH Royal Institute of Technology