Miguel Aguilera

Power System Analyst at OPAL-RT TECHNOLOGIES

Montreal, Quebec, Canada
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Summary

👤
Senior
🎓
Top School
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.
code11 years of coding experience
job12 years of employment as a software developer
bookMaster of Science - MS, Electric Power Engineering, Master of Science - MS, Electric Power Engineering at KTH Royal Institute of Technology
bookBachelor's degree, Electrical Engineering, Bachelor's degree, Electrical Engineering at Universidad de Costa Rica
bookLicentiate degree, Electrical Engineering, Licentiate degree, Electrical Engineering at Universidad de Costa Rica UCR
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Github Skills (151)

pipeline-framework10
security10
pitch10
stream-processing10
streaming10
calculator10
jtag10
video-processing10
capstone10
x86-6410
glibc10
computer-vision10
mediapipe10
graph-framework10
audio-processing10

Programming languages (11)

TypeScriptMDXJavaC++ShellCTeXJavaScript

Github contributions (5)

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Reinforcement Learning setup for android game playing robot.
Contributions:103 commits, 2 PRs, 26 pushes in 1 month
roboticsreinforcement-learningandroidrobotandroid-game
roj4s/pizzapp

Jun 2020 - Jun 2020

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