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Computer and Electronics Engineer with a Master’s degree in Computer Engineering for Robotics and Smart Industry from the University of Verona. Skilled in machine learning, computer vision, and computational imaging, as well as electronics design, PLC systems, and embedded hardware development. Experienced in anomaly detection, photometric stereo, and industrial automation, with published research in the Journal on Computing and Cultural Heritage. Strong background in Python, MATLAB, ROS2, and deep learning frameworks, combined with expertise in electronic circuits, PCB design, and hardware troubleshooting. Proven track record of delivering innovative AI-driven and hardware-integrated solutions across healthcare, manufacturing, and digital heritage. Passionate about bridging software intelligence with robust hardware systems for Industry 4.0 applications.
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