Summary
Daniel Regner is a research engineer and project manager with 9 years of experience specializing in autonomous robotics, high-precision photogrammetry, and computer vision for complex aerial and subsea inspection systems. He leads Project VORIS at LABMETRO UFSC, integrating vSLAM/SLAM, real-time vision pipelines, and digital-twin VR environments for subsea measurement and inspection. His background spans embedded AI deployment (YOLOv3 on NVIDIA Jetson Nano), Gazebo/ROS simulation, and published applied research from drone pipeline inspection to harvest-monitoring CNN optimization that resulted in two patents. Comfortable bridging lab research and field deployment, he combines metrology-grade accuracy from an MEng with practical systems engineering across UAVs and ROVs. Fluent in English and Spanish, he also brings hands-on mechanical design and teaching experience, making him equally at home with algorithms, hardware, and stakeholder coordination. Notably, he consistently moves prototypes into validated, patentable solutions rather than leaving work at proof-of-concept.
9 years of coding experience
5 years of employment as a software developer
Master of Engineering - MEng, Metrology, 9,4 / 10, Master of Engineering - MEng, Metrology, 9,4 / 10 at Universidade Federal de Santa Catarina
Técnico em Mecânica Industrial, Industrial Mechanics and Maintenance Technology, Técnico em Mecânica Industrial, Industrial Mechanics and Maintenance Technology at Fundação Escola Técnica Liberato Salzano Vieira da Cunha
Portuguese, English, Spanish