Motivated and detail-oriented Computer Science professional specializing in Artificial Intelligence and computer vision. Successfully conducted advanced research in medical image segmentation using the nnU-Net architecture, with hands-on experience in deep learning, model evaluation, and experimentation. Proven leadership as a team coordinator in QA and software testing projects, and practical experience in networking infrastructure from prior engineering work. In addition to computer vision, I have also worked on projects in Natural Language Processing, big data, and data analysis during my master’s program, giving me solid knowledge and practical experience in diverse AI applications. Skilled in Python, PyTorch, TensorFlow, API testing, and collaborative problem-solving.