István Ketykó is a research engineer with nine years of experience blending academic rigor and industrial impact in AI and sequential modeling. He has driven advanced ML research at Nokia Bell Labs and led GenAI efforts as Lead Research Engineer at Colossyan, with PhD-level work in probabilistic models and time-series representation learning. His expertise spans deep generative and self-attentional architectures applied to human activity and gesture recognition, plus domain adaptation for sequential data. Comfortable taking ideas from theoretical foundations to applied systems, he pairs publications and PhD training with production-minded engineering. Based in Budapest, he brings a pragmatic curiosity—authoring what he calls the "world's simplest probabilistic model"—that surfaces in both research prototypes and deployable GenAI features.
9 years of coding experience
10 years of employment as a software developer
Master of Science (MSc), Computer Science, Master of Science (MSc), Computer Science at Budapesti Mûszaki és Gazdaságtudományi Egyetem
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Ghent University
Contributions:7 commits, 8 pushes, 1 branch in 1 year 5 months
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