At PSR since 2016, his role has been to design, develop, and coordinate teams responsible for implementing applications and computational tool packages, encompassing both in-house and open-source solutions. He also works as a researcher, focusing on machine learning, reinforcement learning, and stochastic optimization methodologies. His work includes R&D projects, where he is responsible for the design and implementation of mathematical modeling.
Academic Background
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MSc in Computer Science with an emphasis on Optimization and Machine Learning – PUC-Rio
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BSc in Computer Engineering – PUC-Rio
Professional Experience
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Development of optimization models for hydrothermal dispatch under uncertainty with transmission constraints.
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Research and development of advanced methodologies in machine learning, reinforcement learning, and stochastic optimization.
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Research and development of software architecture with an emphasis on cloud computing, data analysis, parallel computing, and GPUs.
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Contributions to the development ecosystem of the C++ and Julia programming languages.
