Csaba Gór
Machine Learning Engineer at Turbine
Budapest, Hungary
Summary
👤
Senior🎓
Top SchoolCsaba Gór is a machine learning engineer with 10 years of interdisciplinary experience at the intersection of biology and AI, currently developing simulated-cell–based cancer solutions at Turbine. He previously led deep learning research for computer vision at Continental and applied molecular-forensic analytics and predictive modeling at Hungary’s National Tax and Customs Administration. Trained as a molecular biologist (BSc, MSc), he blends wet-lab insight with strong hands-on skills in deep learning, deep reinforcement learning and evolutionary optimization. A certified SAFe 5 Scrum Master and avid Agile practitioner, he pairs rigorous research instincts with pragmatic product delivery. Active on GitHub, he experiments widely in personal projects that reflect a continual drive to learn and push AI techniques beyond conventional boundaries.
10 years of coding experience
10 years of employment as a software developer
Master’s Degree, Biology, Master’s Degree, Biology at University of DebrecenBachelor of Science (B.Sc.), Molecular Biology, Bachelor of Science (B.Sc.), Molecular Biology at University of Szeged
English, Hungarian
Github Skills (34)
convolutional-neural-networks10
python10
artificial-neural-networks10
machine-learning10
recurrent-neural-networks10
deep-learning10
tensorflow10
deep-reinforcement-learning10
data-science9
evolutionary9
reinforcement-learning9
networking9
ml9
deep-neural-networks9
neural-network9
Programming languages (3)
Github contributions (5)
csxeba/brainforge
Jan 2017 - Mar 2020
A Neural Networking library based on NumPy only
Contributions:163 commits, 12 PRs, 146 pushes in 3 years 2 months
pythonnumpynetworkingmachine-learningneural-network
sonus89/FIPER
Jan 2017 - Jan 2018
Contributions:10 PRs, 90 pushes, 7 branches in 11 months
racerfirst-personperson
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