Mario Dagrada is an AI engineer and engineering manager with 8+ years of experience translating deep scientific research into production-grade software across quantum computing, renewable energy, and generative AI. He has founded and scaled engineering teams—from leading a 15-person scientific software organization at Pasqal to directing a 10-engineer software org as CTO—while shepherding products from prototype to industrial deployments. Currently consulting on GenAI infrastructure and agent pipelines, he pairs hands-on system design with a talent for hiring, mentoring, and aligning teams to strategic outcomes. His background in computational physics and contributions to large-scale parallel simulation projects give him uncommon fluency in low-level performance engineering as well as ML-driven productization. Based in Eindhoven, he combines a researcher’s rigor with operator-level pragmatism, often bridging hardware interfaces, cloud platforms, and scientific ML stacks. Colleagues rely on him to turn complex, high-tech ideas into scalable, maintainable systems that deliver real value.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD) Computational Physics, Doctor of Philosophy (PhD) Computational Physics at Universidad Nacional de San Martín
Master's degree - 2nd Year (M2) Physique Théorique des Système Complexes - Parcours Recherche, Master's degree - 2nd Year (M2) Physique Théorique des Système Complexes - Parcours Recherche at Paris-Sud University (Paris XI)
Doctor of Philosophy (PhD) Computational Physics, Doctor of Philosophy (PhD) Computational Physics at Pierre and Marie Curie University
Master's degree Physics of Complex Systems, Master's degree Physics of Complex Systems at Politecnico di Torino
Basic implementation of physics-informed neural networks for solving differential equations
Contributions:5 commits, 3 PRs, 8 pushes in 1 year
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Mario Dagrada - AI Engineer Consulting at Self employed