Géza Velkey is a Co-Founder and CTO with nine years of experience building cloud-native AI systems and production-grade deep learning pipelines across autonomous driving and urban perception. He has led unsupervised and self-supervised learning projects end-to-end—from model research through multi-GPU training to embedded and Kubernetes deployments—at companies including Helm.ai, Bosch and greehill. A strong Azure and cloud architect, he has replaced rule-based ecosystems with ML-driven solutions and automated large-scale ML deployment, monitoring and provisioning. Géza pairs academic rigor (MS in CS/AI from Georgia Tech) with hands-on engineering in C++, PyTorch/TensorFlow, and scalable infra, and is now shaping engineering strategy and productization at Raiqon. Notably, his background spans both low-level navigation software and cutting-edge sparse 3D neural networks, giving him a rare full-stack perspective on perception-to-production problems.
9 years of coding experience
7 years of employment as a software developer
Master of Science - Computer Science, Artificial Intelligence, Highest Honors, Master of Science - Computer Science, Artificial Intelligence, Highest Honors at Georgia Institute of Technology
Bachelor’s Degree, Electrical and Electronics Engineering, Highest honors, Bachelor’s Degree, Electrical and Electronics Engineering, Highest honors at Budapest University of Technology and Economics
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