Rajmund Nagy
Machine Learning Research Engineer at KTH Royal Institute of Technology
Stockholm, Stockholm County, Sweden
Summary
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Senior🎓
Top SchoolRajmund 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 TechnologyBachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at Eötvös Loránd University
Github Skills (46)
human-computer-interaction10
autoencoder10
python9
natural-language-processing9
gestures9
audio9
nlp9
speech-recognition8
deep-learning8
keras8
gesture8
machine-learning8
llm8
speech8
pytorch8
Programming languages (2)
Github contributions (5)
nagyrajmund/gesturebot
Jan 2021 - May 2021
The official code for our paper "A Framework for Integrating Gesture Generation Models into Interactive Conversational Agents", published as a demonstration at AAMAS 2021.
Contributions:69 commits, 69 pushes, 8 branches in 3 months
conversational-agentsunityvirtual-agentsdeep-learninghuman-computer-interaction
nagyrajmund/summer_internship_KTH
Jun 2020 - Jan 2023
This fork adapts Gesticulator, the semantically-aware speech-driven gesture generation model, for integration with conversational agents in Unity.
Contributions:144 commits, 1 PR, 78 pushes in 2 years 7 months
conversational-agentsspeechgesture-generationmachine-learning
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