Frank Armando Ricardo Carrillo is a researcher and academic with a background in Applied Engineering, Deep Learning, and Automation. He holds a Bachelor's degree in Automation Engineering from the Technological University of Havana and a Master’s degree in Economics, Finance, and Computer Science from the University of Huelva. Currently, he is pursuing a PhD in Applied Engineering at the University of Navarra, focusing on Machine Learning, Deep Learning and Computer Vision. Frank has teaching and research experience. He is an Assistant Teacher at the University of Navarra, teaching "Deep Learning for Computer Vision" and "Programming in Matlab," and an Assistant Researcher at CEIT - Technology Center, working on machine learning and computer vision projects. Previously, he served as an Instructor Teacher at the Technological University of Havana and an Automation Specialist at ESINES/AmyAir, where he designed and implemented automated control systems. His skills include Python, MATLAB, TensorFlow, PyTorch, and expertise in PLCs, SCADA systems, and HVAC control systems.