Juliano Pinto is a Staff Engineer and former PhD researcher based in Gothenburg with 11 years of experience building machine learning systems and applied deep learning for multi-object tracking. He transitioned from winning a Best Student Paper award for comparing Random Finite Set methods and transformer-based trackers to leading ML engineering work at Modulai, combining rigorous research with product-level deployment. Trained in mechatronics and systems control, he brings hands-on expertise in control algorithms, Kalman filters and simulation from early aerospace and robotics projects. As an entrepreneur and instructor he has taught calculus, programming and reinforcement learning, demonstrating an ability to explain complex ideas to diverse audiences. His profile blends academic depth with practical engineering—often translating novel research insights into robust production models.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Deep Learning applied to multi-object tracking, Doctor of Philosophy - PhD Deep Learning applied to multi-object tracking at Chalmers University of Technology
Bachelor of Engineering (B.E.) Mechatronics Robotics and Automation Engineering, Bachelor of Engineering (B.E.) Mechatronics Robotics and Automation Engineering at Centro Universitário do Instituto Mauá de Tecnologia
Contributions:155 commits, 1 push, 2 issues in 9 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.