My research focuses on applied artificial intelligence for intelligent inspection and autonomous systems. It combines computer vision, reinforcement learning, and robotics to develop adaptive, real-time solutions for monitoring critical infrastructure in sectors like mining, energy, logistics, and construction. My work includes deep learning for defect detection and segmentation, image quality assessment (IQA), and intelligent viewpoint selection. I explore the integration of these models into mobile platforms such as quadruped robots and drones, bridging simulation and deployment. The goal is to design scalable, explainable, and industry-aligned AI systems that operate reliably in complex, real-world environments.

Computer Vision, Reinforcement Learning, Autonomous Inspection, Robotics, Defect Detection, Infrastructure Monitoring, Applied Artificial Intelligence.

Systems Engineer, Academia Politécnica Militar 2010 Mechanical Civil Engineer, Universidad de Santiago de Chile 2018