I hold a Master's degree in Biomedical Engineering from the Faculty of Engineering of the University of Porto (FEUP, Portugal), which I completed in 2024, and I earned my Bachelor's degree in Biomedical Engineering at the Instituto Superior de Engenharia do Porto (ISEP) in 2022. I am deeply passionate about the intersection of healthcare and technology, finding great joy in contributing to advancements that enhance patient care and improve health outcomes. To deepen my understanding in this area, I pursued courses on "Neural Networks and Deep Learning" and "Convolutional Neural Networks," offered by Stanford University and DeepLearningAI. During my studies, I had the privilege of working as a researcher at the Life and Health Sciences Research Institute (ICVS) at the School of Medicine of the University of Minho, supported by a fellowship from an FCT-funded project. My master’s thesis focused on developing an innovative deep learning-based algorithm for case-based retrieval in lung ultrasound videos, aiming to enhance diagnostic accuracy, support clinical decision-making, and serve as a valuable training resource for clinicians specializing in point-of-care ultrasound. I value teamwork and community involvement, which motivated my role in coordinating the Communications and Marketing Department of NEEB-ISEP. In this position, I collaborated with a great team on event promotion aimed at engineering students. Additionally, I volunteered with FAP no Bairro, providing pedagogical support to young students and planning community engagement activities to enhance educational outcomes.