Vasken Dermardiros is a CTO and co-founder with 11 years of hands-on experience bridging scientific machine learning, controls, and full-stack product delivery in fast-moving startups. He combines a PhD-level foundation in building engineering with practical expertise in physics-informed modelling, optimization, and RL to design predictive control systems for energy, healthcare, robotics and synthetic biology applications. Known for rapid learning, meticulous organization and clear cross-functional communication, he has led AI teams, shipped SOC2/HIPAA/PIPEDA-compliant medical LLM and RAG products, and operationalized models into production. His background includes academic research, supervising graduate students and publishing peer-reviewed work, yet he remains deeply technical—writing his own code and building experiments end-to-end. He also brings consulting experience in energy modelling and MEP engineering, giving him a rare blend of domain and systems-level perspective. Based in Montreal, he’s particularly interested in applying RL, genetic algorithms and optimization to the built environment and other safety-critical domains.
11 years of coding experience
11 years of employment as a software developer
PhD in Building Engineering, PhD in Building Engineering at Concordia University
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Vasken Dermardiros - Chief Technology Officer & Co-Founder at Aescia