Researcher at CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Minas Gerais, Brazil
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Summary
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Senior
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Top School
Alexandre Caldeira is an electrical engineer and MSc. researcher focused on interpretable machine learning for clinical neuroscience, currently developing patient-adaptive automated audiometry using EEG. He combines rigorous nonlinear dynamics and sequential hypothesis testing with deep reinforcement learning to build models clinicians can trust, bridging physics and medicine. With nine years of experience across robotics, cloud/serverless engineering (Azure), web/mobile stacks, and data pipelines, he moves seamlessly between research and production. Alexandre has led and taught cross-functional teams, published academic work on control and signal analysis, and competed in Kaggle ML challenges. His background in robotics and nanoscale biomedical sensors gives him a practical edge in designing systems that are both explainable and deployable. Fluent in English, Dutch, and Portuguese, he brings an interdisciplinary, humanitarian-minded approach to engineering and research.
9 years of coding experience
5 years of employment as a software developer
Graduação, Engenharia Elétrica, Graduação, Engenharia Elétrica at Universidade Federal de Viçosa
Curso Técnico Integrado, Electrical, Electronic and Communications Engineering Technology/Technician, Curso Técnico Integrado, Electrical, Electronic and Communications Engineering Technology/Technician at Centro Federal de Educação Tecnológica de Minas Gerais
Master of Science - MS, Engenharia Elétrica, Master of Science - MS, Engenharia Elétrica at Universidade Federal de Minas Gerais
Repositório para acompanhamento das atividades do terceiro processo seletivo da equipe NIAS-IA
Contributions:26 reviews, 37 commits, 38 PRs in 1 month
processo-seletivoreactjavascriptrioequipe
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Alexandre Caldeira - Researcher at CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior