Saulo Barreto

Multidisciplinary engineer with extensive experience in developing innovative solutions at the intersection of signal processing, computer vision, and data science. Demonstrated success in technical projects from concept to deployment, including creating an open-source Python library for complex image processing and building interactive 3D visualization platforms. Combines strong mathematical expertise with practical programming skills in Python and C++, while effectively communicating technical concepts through teaching and technical writing. Proven track record of collaborating across international teams and delivering results in both academic and industrial settings, including Nokia Bell Labs. - Work experience in software development: Created an (upcoming) open-source Python library for analysis of complex image data, focusing on speed and execution time optimization. - Work experience in technical writing and document production: Wrote 25+ tutorials and articles on Data Science and Programming (at Baeldung), along with technical documents for training federal prosecutors and lawyers (Office of Federal Prosecution) - Work experience in teaching and mentoring: Delivered 84 hours of in-person practical sessions in Python and MATLAB. - Work experience in prototyping and pattern recognition: Developed QR code reading software for laparoscopic surgery, and used visual pattern recognition to control a humanoid robot (Robotics Center). I also created 3D reconstructions for metaverse applications, developed point cloud manipulation tools, and built a web platform for real-time 3D data visualization (Bell Labs).