Demetris Chrysostomou is a Senior Machine Learning Engineer with six years of experience bridging academic research and applied AI for power systems and cyber-physical security. He holds an MS from ETH Zurich and completed a PhD and postdoc at TU Delft focused on active neural learning for control coordination to improve stability at the transmission-distribution edge as part of the MEGAMIND program. His work spans grid resilience, inverter-based generation effects, and datacenter energy efficiency, and he has published in IEEE and Electric Power Systems Research. Practical industry experience includes R&D at ABB (AI-assisted security tooling) and his current role at Tenstorrent, reflecting a transition from domain-focused research to production ML engineering. An award-winning undergraduate thesis on AC interference in buried pipelines and a self-described "Coding Addict" hint at a mix of rigorous electrical-engineering foundations and persistent hands-on coding curiosity.
6 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at University of Cyprus
Master of Science - MS, Robotics, Systems and Control, Master of Science - MS, Robotics, Systems and Control at ETH Zürich
Contributions:4 pushes, 1 branch in 2 years 4 months
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Demetris Chrysostomou - Senior Engineer Machine Learning at Tenstorrent