Adjunct Professor at Universidade Federal de Minas Gerais
Minas Gerais, Brazil
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Summary
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Héctor Azpúrua is a robotics and AI researcher turned adjunct professor with 12 years of experience building perception-driven systems, industrial R&D, and scalable machine learning pipelines. He combines deep academic credentials (PhD, robotics and computer vision master’s) with hands-on industry work—contributing to DARPA SubT efforts at JPL, deploying predictive analytics for mining, and engineering similarity analysis at Meta. Equally at home writing efficient algorithms or hacking for security, he leverages a background in software development and penetration testing to produce robust, secure solutions for repetitive and hazardous tasks. A founding member of the Brazilian Robotics Society and active VeRLab contributor, he excels at turning complex sensor and AI research into practical fielded systems. Notably, his portfolio spans aerial magnetometric mapping to multimodal similarity systems, reflecting a rare blend of field robotics, perception, and production-scale ML.
12 years of coding experience
14 years of employment as a software developer
Master of Business Administration - MBA Project Management, Master of Business Administration - MBA Project Management at USP - Universidade de São Paulo
Bachelor's degree Computer science, Bachelor's degree Computer science at Universidad Nueva Esparta
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Universidade Federal de Minas Gerais
This is the implementation in C++ of the paper: 'A fast and effective ellipse detector for embedded vision applications'
Contributions:5 commits, 1 PR, 6 pushes in 4 years
visionellipseeffectivecomputer-visiondetector
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Héctor Azpúrua - Adjunct Professor at Universidade Federal de Minas Gerais