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Research Assistant
Stanford Sustainable Systems Lab (S3L) - Stanford University
Oct 2022 - Present
Work on research and development projects focused on applying Artificial Intelligence and Optimization techniques to energy systems.
Main activities: deliver presentations; write technical/progress reports; implement code for numerical tests; and write scientific documents (papers, patents and research proposals).
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AI/Optimization Resident
X, the moonshot factory
Jul 2024 - Sep 2024
AI/Optimization Resident at X (formely Google X) working on Tapestry - a moonshot for decarbonizing the electrical grid. |
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Teaching Assistant
Stanford University
Mar 2024 - Jun 2024
CEE 272R: Engineering Future Electricity Systems - The electricity grid is undergoing a dramatic transformation due to the urgency to decarbonize, improve resilience against climate-induced extreme weather events, and provide affordable reliable access to at-risk communities. This fast-paced course aims to build a systematic understanding of the future electric power grid.
Led discussion sessions, held office hours, mentored final projects, and created and graded homework and exams.
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R&D Engineer
Optical Fiber Sensors Lab (Laboratório de Sensores a Fibra Óptica) - Pontifical Catholic University of Rio de Janeiro
Aug 2019 - Sep 2022
Work on research and development projects focused on ultrasonic guided-waves jointly with machine learning in industrial applications.
Main activities: delivered presentations; wrote technical/progress reports; implemented code for numerical tests; and wrote scientific documents (papers, patents and research proposals).
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Teaching Assistant
Federal University of Juiz de Fora
Mar 2015 - Aug 2018
General Physics Lab Classes for Engineering (2015 - 2016) - Assisted during laboratory classes and bench experiments; evaluated and graded experiments reports.
PLC and Automation Lab Classes for Mechanical and Industrial Engineering (2017 - 2018) - Assisted during and after classes. Solved practical exercises with small electric circuit benches (PLC and sensors training) and software (FluidSIM) jointly with the class; aided students with ladder logic practices; evaluated and graded class reports.
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