Pesquisador at MACRO - Mechatronics, Control, and Robotics Research Group at the Federal University of Minas Gerais
Minas Gerais, Brazil
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Summary
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David Brochero is a researcher and robotics engineer with five years of experience at the intersection of control, automation and machine learning, currently developing safe motion-planning algorithms for swarms of holonomic robots at UFMG. He brings practical deployment experience from embedded vision work—training, validating and quantizing object-detection models for on-camera inference—and prior NLP-focused neural research. A Linux enthusiast and Rust user, David combines systems-level thinking with academic rigor from his master's and bachelor's studies in electrical engineering and robotics. He is comfortable moving models from research to constrained hardware and has a knack for packaging and tooling that smooths that transition.
5 years of coding experience
Master's degree, Control, Automation and Robotics Engineering, Master's degree, Control, Automation and Robotics Engineering at Universidade Federal de Minas Gerais
Contributions:2 reviews, 135 commits, 23 PRs in 4 months
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David Brochero - Pesquisador at MACRO - Mechatronics, Control, and Robotics Research Group at the Federal University of Minas Gerais