Nestor Neto is a PhD student and seasoned software engineer with 8 years of multidisciplinary experience spanning robotics R&D, embedded systems, and biomedical equipment maintenance. He holds an MSc in Computing and Robotics and a specialization in Clinical Biomedical Engineering, and is currently pursuing doctoral research in Machine Learning and Signal Processing at Universidade Federal da Bahia while working at CERN and Oceaneering. His background blends hands-on electronics and real-time embedded design with applied robotics research, and he has taught technical courses in mechatronics and electronics across several institutions. Known for moving projects from lab prototypes to field-capable systems, he brings practical clinical-device maintenance experience to complex signal-processing and control challenges.
8 years of coding experience
Doctor of Philosophy - PhD Machine Learning and Signal Processing, Doctor of Philosophy - PhD Machine Learning and Signal Processing at Universidade Federal da Bahia
Bachelor of Engineering (BEng) Electronic Engineering , Bachelor of Engineering (BEng) Electronic Engineering at Wyden
Contributions:65 pushes, 7 branches in 6 years 7 months
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