As an AI Research Assistant at UQAM, I acquired a Master's degree in Artificial Intelligence, focusing on self-supervised learning for biomedical image processing. With a strong background in computer science, I have developed a novel framework using Vision Transformers to segment white matter regions in brain images, achieving significant performance improvement over traditional unsupervised methods and surpassing even supervised methods. Alongside my research, I have also generated a large dataset of stained brain section images, contributing to the advancement of the field. Additionally, I have leveraged my web development skills as a Freelance Web Developer, creating visually appealing and functional websites for local businesses using ReactJS, and Tailwind. I have collaborated closely with clients throughout the project lifecycle, ensuring a seamless user experience and optimized performance. I have also demonstrated strong problem-solving skills by setting up email systems and DNS configurations, ensuring secure and reliable communication channels and website functionality. With expertise in machine learning, computer vision, and web development, I am a versatile and dedicated professional, passionate about driving technological innovations and solving complex problems.