Dmytro Humeniuk is a robotics researcher and PhD in Computer Engineering from Polytechnique Montréal with 10 years of experience applying machine learning and Python to real-world systems. He currently leverages NVIDIA Omniverse (IsaacSim, IsaacReplicator, TAO5) to design safer, more robust robotic applications through simulation-driven workflows. His background includes building predictive maintenance models with PyTorch for cable modem networks and developing testing-focused practical coursework as a teaching assistant. Comfortable moving between research and engineering, he combines deep AI knowledge with hands-on simulation and deployment skills. Based in Montreal, he brings a rigorous academic foundation and a practical knack for turning simulation experiments into production-ready insights.
10 years of coding experience
Doctor of Philosophy - PhD, Computer Engineering, Artificial Intelligence, Doctor of Philosophy - PhD, Computer Engineering, Artificial Intelligence at Polytechnique Montréal
Contributions:24 commits, 70 pushes, 3 branches in 2 months
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