Summary
Michal Chovanec is an Artificial Intelligence Researcher with 11 years of hands-on experience applying deep learning, advanced reinforcement learning, and machine vision across robotics, hardware validation, and security systems. He has driven R&D from academia to industry—postdoctoral research on deep RL and bio-inspired models, AI engineering at Tachyum for model quantization and low-level validation, machine-vision and control at Photoneo, and currently AI solutions for security at Excalibur. His technical toolkit spans Python, C++, PyTorch, Verilog, TVM/ONNX, optimal control (LQR, Kalman), and signal-processing techniques, plus practical experience with embedded systems and AMR control stacks. An active hobbyist and open-source developer, he publishes numerous projects on GitHub including RL agents, a line-following robot, and a differentiable red blood cell model using graph neural networks. Notably, his background mixes rigorous academic modeling with pragmatic hardware-aware ML work, and he complements it with hands-on skills from wilderness survival to bow shooting—reflecting a pragmatic, test-in-the-field mindset.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Faculty of Management Science and Informatics, University of Žilina
Master's Degree NOW : Artifical intelligence and machine learning in multirobotics systems, Master's Degree NOW : Artifical intelligence and machine learning in multirobotics systems at Faculty of management science and informatic
English