Juraj Kardoš is a power grid analyst and computational scientist with 12 years of experience blending high-performance computing, numerical optimization, and energy market modeling from academia to industry. Based at USI in Lugano and collaborating with DXT Commodities, he develops and implements stochastic and distributed optimization methods for large-scale power grid simulations, including optimal power flow, contingency analysis, and storage modeling using Matpower and PowerModels.jl. His work spans interior-point and state-of-the-art commercial solvers (Mosek, Gurobi, CPLEX, Knitro, Ipopt) and delivered a novel embarrassingly parallel simulation approach that boosted throughput by 63%. Juraj has direct hands-on experience integrating Pan‑European flow‑based market coupling models (PTDF forecasting, GSK strategies) into market analytics, and his background in HPC and GPU training informs scalable solver and algorithm design. He holds a PhD in Computational Science and is notable for bridging rigorous research—Innosuisse‑funded projects and sensitivity/uncertainty quantification—with practical market-focused deployments.
12 years of coding experience
Bachelor of Science (BSc), Information Technology, Faculty of Information Technology, A, Bachelor of Science (BSc), Information Technology, Faculty of Information Technology, A at Brno University of Technology
Exchange study programme, Intelligent Systems & HPC, Faculty of Informatics, Exchange study programme, Intelligent Systems & HPC, Faculty of Informatics at USI Università della Svizzera italiana
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.