Demetris Chrysostomou
Houston, Texas, United States
Summary
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
Github Skills (2)
algorithm4
algorithms4
Programming languages (1)
Github contributions (5)
Dremix10/CP-Algorithms
Jul 2020 - May 2021
Collection of my implementations of a lot of algorithms used in competitive programming
Contributions:72 commits, 2 PRs, 65 pushes in 10 months
Dremix10/My-Python-Documentation
Apr 2021 - Aug 2023
Contributions:4 pushes, 1 branch in 2 years 4 months
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