István Ketykó
Research Engineer at Colossyan
Budapest, Central Hungary
Summary
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Rockstar🎓
Top SchoolIstván 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.
10 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 EgyetemDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Ghent University
Hungarian, English
Stackoverflow
31reputation
988reached
0answers
1question
Github Skills (64)
stylegan10
gesture-recognition10
generative-adversarial-network9
python9
machine-learning9
image-translation9
recurrent-neural-networks9
deep-learning9
audio9
generative-model9
nlp8
lip-sync8
natural-language-processing8
gpu8
tensorflow8
Programming languages (4)
Github contributions (5)
smartjourneymining/sequential-deep-learning-models
Aug 2021 - Sep 2022
Contributions:9 commits, 6 pushes, 1 branch in 1 year 1 month
ketyi/2SRNN
Jan 2019 - Jun 2020
Domain Adaption for sEMG-based Gesture Recognition with Recurrent Neural Networks
Contributions:7 commits, 8 pushes, 1 branch in 1 year 5 months
gesture-recognitionrecurrent-neural-networksemgrnndomain-adaptation
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