Summary
Carlos De Santana is an R&D developer and data-savvy full-stack engineer based in São Paulo with nine years of hands-on experience building statistical and machine learning tools for corporate data. He combines a Computer Science degree from UNESP and technical training from IFSP with current master's-level work in computer vision, blending applied research with production development. At Valid he designed analytics pipelines and automated operational workflows using generative AI, and he has practical web/mobile experience with Next.js, React Native, Node.js and backend work in Java/Spring Boot. Recent R&D roles span computer vision research at LabTrans/UFSC and an ongoing position at Hospital Israelita Albert Einstein, reflecting a shift toward applied ML and healthcare innovation. A literature enthusiast by trade, he brings curiosity-driven problem solving and a knack for turning academic concepts into user-focused tools that improve operations. Less obvious: he has a track record of securing scholarships across math and software disciplines, signaling sustained academic rigor alongside industry delivery.
9 years of coding experience
2 years of employment as a software developer
Instituto Federal de Educação, Ciência e Tecnologia de São Paulo
Master's, Computer Sciente, Master's, Computer Sciente at University of São Paulo
Bachelor Degree, Computer Science, Bachelor Degree, Computer Science at UNESP - São Paulo State University
Master's in Computer Science, Computer Vision, Master's in Computer Science, Computer Vision at Instituto de Matemática e Estatística - Universidade de São Paulo (IME-USP)
English, Chinese, Japanese