Summary
Daniel Canelhas is a multidisciplinary procedural artist and engineer with 13 years of experience blending computer vision, robotics, and mechanical design into production software and game art. He holds a PhD in Robot Vision and an MSc in Robotics, and has applied his expertise across roles from high-voltage substation design to computer vision research and software engineering at DICE. Skilled in numerical optimization, machine learning, and mechatronics, he bridges scientific depth with practical implementation—shipping tooling and procedural systems for interactive experiences. Known for tackling complex, cross-domain problems, he brings an artist’s eye to algorithmic systems and a researcher’s rigor to creative pipelines.
13 years of coding experience
13 years of employment as a software developer
Optimization, Optimization at KTH Royal Institute of Technology
Doctor of Technology Computer Science, Doctor of Technology Computer Science at Örebro University
BS Mechatronic engineering, BS Mechatronic engineering at PUC Minas
English, Swedish, Portuguese