Summary
Diego Wanderley is an experienced technical developer and electronic/computer engineer with eight years in software-centered roles and over a decade in high-tech fields, specializing in computer vision, image processing and embedded systems. He has shipped ADAS and driver monitoring features in automotive-grade environments, built real-time video analytics and edge inference services using C++, Python and PyTorch, and bridged research and product work through medical-imaging deep learning and biomedical web tools. Comfortable across low-level embedded C/C++ and higher-level Python/Flask/Node stacks, he pairs rigorous signal-processing training (MSc) with ongoing PhD research in deep learning for ultrasound. Known as an investigative, communicative teammate, he brings both hands-on implementation skills and experience leading agile projects and cross-disciplinary integrations. An uncommon strength is his track record of moving algorithms from academic prototypes to production-constrained systems (thermal cameras, Triton/TensorRT, GCP), making him effective at turning research into deployable features.
8 years of coding experience
7 years of employment as a software developer
Associate's degree, Electronics Technology, Associate's degree, Electronics Technology at Centro Federal de Educação Tecnológica Celso Suckow da Fonseca
Master's degree, Electrical and Electronics Engineering - Signal and Image Processing, Master's degree, Electrical and Electronics Engineering - Signal and Image Processing at Universidade Federal do Rio de Janeiro
High School/Secondary Diplomas and Certificates, High School/Secondary Diplomas and Certificates at CEFET
Doctor of Philosophy (PhD), Electrical and Computer Engineering (on hold), Doctor of Philosophy (PhD), Electrical and Computer Engineering (on hold) at Universidade do Porto
Portuguese, English, Spanish