I'm a Software Engineering student expected to graduate from the Faculty of Computers and Artificial Intelligence in August 2024 with a cumulative GPA of 3.9 (Canadian System).

I have a robust background in software engineering, including Python programming, object-oriented principles, data structures, and algorithms, enabling me to build scalable and maintainable code. My front-end development skills, with proficiency in HTML, CSS, and JavaScript, complement my software engineering expertise. I am experienced in modern front-end frameworks, responsive design, and using Git for version control. My problem-solving abilities, attention to detail, and commitment to continuous learning allow me to tackle complex design and engineering challenges, delivering high-quality software solutions.

I am deeply passionate about advancing my expertise in machine learning and deep learning. I have successfully implemented a variety of machine learning algorithms, utilizing regression and classification techniques to deliver impactful results. By applying preprocessing methods, I ensure data is optimized for the best possible outcomes. Recently, I have been working with TensorFlow and OpenCV on image-processing projects, focusing on image classification and segmentation. These experiences highlight my dedication to harnessing cutting-edge technologies to address real-world challenges. My enthusiasm for data science, data analysis, and AI fuels my continuous learning and innovation, driving me to stay at the forefront of advancements in this dynamic field.