Miguel Aguilera is a multidisciplinary power systems analyst and software-savvy engineer with over a decade of experience applying electrical engineering, data science, and software development to industry and research problems. Currently at OPAL-RT he leads model conversion and proof-of-concept work for phasor and EMT simulations, integrating standards like Modelica, FMI and CIGRE to bridge modeling and realtime tools. His background spans utility operations, R&D and academia—where he implemented Modelica microgrid models at RPI and developed GIS, CIM-inspired monitoring, and reporting automation at Grupo ICE—demonstrating a rare blend of field experience and research rigor. Proficient in Python, Java, C, MATLAB and R, he repeatedly turns legacy workflows into automated, auditable data services and reporting pipelines. Organized and curious, he pairs creative problem solving with practical project management across modeling, simulation and data-driven power-system applications. Based in Montreal, he combines formal MSc training from KTH with hands-on TSO and vendor-facing systems work to deliver reproducible, standards-based engineering solutions.
11 years of coding experience
12 years of employment as a software developer
Master of Science - MS, Electric Power Engineering, Master of Science - MS, Electric Power Engineering at KTH Royal Institute of Technology
Bachelor's degree, Electrical Engineering, Bachelor's degree, Electrical Engineering at Universidad de Costa Rica
Licentiate degree, Electrical Engineering, Licentiate degree, Electrical Engineering at Universidad de Costa Rica UCR
Simple webapp for pizza delivery constructed with React-Redux and Node Express
Contributions:33 commits, 54 pushes, 5 branches in 17 days
reactnode-expressexpresspizza-deliveryreact-redux
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Miguel Aguilera - Power System Analyst at OPAL-RT TECHNOLOGIES