Camila Barbosa

Governance, Innovation And Flexibility Coordinator

Rio Grande do Norte, Brazil
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Summary

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Senior
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Top School
Camila Barbosa is a Mechatronics engineer and innovation leader with 10 years’ experience bridging R&D, regulatory compliance and business strategy in the energy and industrial sectors. Currently coordinating Governance, Innovation and Flexibility at Energisa, she designs governance, portfolio and compliance frameworks that scale pilots into commercially viable flexibility solutions while ensuring PROPDI/ANEEL alignment. With a master’s in Mechatronics from UFRN and hands-on ML/R&D experience at Radix, she combines expertise in AI, NLP, embedded systems and digital image processing to translate research into operational products. Camila has led multidisciplinary teams on ANP/ANEEL-funded P&D portfolios, built go-to-market pathways for licensed products, and embeds financial discipline into innovation pipelines. Fluent in both technical delivery and regulatory navigation, she is equally comfortable building speech-to-text and predictive-maintenance models as she is structuring strategic partnerships and governance. An uncommon strength is her dual background in neuroscience applied to business and mechatronics, which informs human-centered approaches to technology adoption.
code9 years of coding experience
job4 years of employment as a software developer
bookElektrotechnik und Informationstechnik, Electrical Engineering, Elektrotechnik und Informationstechnik, Electrical Engineering at Ruhr University Bochum
bookFederal University of Rio Grande do Norte
languagesEnglish, German, Portuguese
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Github Skills (11)

capstone7
unsupervised-learning4
robotics3
machine-learning3
solve3
robot3
six3
tensorflow2
artificial-intelligence2
reinforcement-learning2
deep-learning2

Programming languages (4)

C#C++HTMLJupyter Notebook

Github contributions (5)

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camilabga/machine-learning

Feb 2019 - Jul 2020

Exploring core machine learning concepts, moving on to supervised and unsupervised learning. Also topics in deep learning and reinforcement learning. There is still a capstone project of my choosing, that applies these machine learning techniques and algorithms.
Contributions:56 pushes, 1 branch in 1 year 5 months
capstonetechniquessupervisedunsupervised-learningdeep-learning
camilabga/electrosearch

Jun 2016 - Jun 2020

Contributions:5 pushes, 1 branch in 4 years
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