I have completed a Master’s in Artificial Intelligence & Data Engineering at the University of Pisa, after earning Bachelor’s degrees in Software Engineering and Visual Communication Design. This interdisciplinary background allows me to approach problems both analytically and creatively, developing innovative and user-centered AI solutions. I have hands-on experience with Python, Java, machine learning, data mining, cloud computing, big data processing, computer vision, LLMs, and evolutionary algorithms, gained through projects such as a clinical decision support system for Thyroid Nodules Based on Explainable Artificial Intelligence, Federated Learning Console, RBF network with advanced loss functions, Traffic Sign Detection, a University of Pisa Search Engine, and large-scale data analysis with Hadoop/MapReduce. These projects strengthened my technical and problem-solving skills while exposing me to cutting-edge technologies. I thrive in collaborative, multicultural environments and am motivated to apply my expertise to real-world AI challenges while continuing to grow.
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