Rati Devidze is an RL/ML engineer and PhD-trained researcher with eight years of experience bridging theoretical reinforcement learning and practical robotics/AI applications. Trained at Max Planck Institute for Software Systems and Universität des Saarlandes, he has published in top venues and focuses on designing informative, explicable reward functions to make RL agents more interpretable and reliable. He combines deep academic rigor with industry experience from startup and enterprise roles, currently applying his expertise at minds.ai. Known for tackling real-world decision-making problems, he brings both low-level implementation skills and a strong grounding in algorithmic research.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Max Planck Society
Language and Ocupation training, Language and Ocupation training at Fachhochschule Aachen
Craduate Student, Computer Science, Craduate Student, Computer Science at Universität des Saarlandes
Bachelor's degree, Computer Science, 4/4, Bachelor's degree, Computer Science, 4/4 at Tbilisi State University
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