I am a dedicated and innovative Computer Vision Engineer with a robust background in machine learning, computer vision, and deep learning. With a Master’s degree in ICT for Internet and Multimedia from the University of Padova, my expertise is backed by rigorous academic training and hands-on project experience. My research has spanned diverse applications from autonomous driving and medical image analysis to sports analytics and real-time object detection, consistently achieving high accuracy and performance improvements.During my tenure as a Student at the University of Padova, I spearheaded several groundbreaking projects, including federated learning for autonomous vehicles, lymphoma subtype classification, and COVID-19 detection from X-ray images. My work has demonstrated significant advancements in both academic and practical settings, utilizing state-of-the-art technologies like Python, TensorFlow, Keras, and OpenCV.I am proficient in multiple programming languages, including Python, C++, MATLAB, and R, and I have extensive experience with machine learning frameworks such as PyTorch and Keras. My technical acumen is complemented by a strong foundation in digital signal processing, human-computer interaction, and internet technologies.I am passionate about leveraging my skills to solve complex problems and drive innovation in the field of computer vision. With a proven track record of collaborative and independent research, I am eager to contribute to cutting-edge projects and deliver impactful solutions in a dynamic and forward-thinking environment.Feel free to connect with me to explore opportunities for collaboration or to discuss the latest advancements in computer vision and machine learning.Email: Raeisina7@gmail.com