As a machine learning engineer, I am passionate about applying my skills and knowledge in data science, image and signal processing, computer vision, and information theory to solve real-world problems and create innovative solutions. I have a strong academic background in electrical and computer engineering, with a MSc from USC and a BSc from KFUPM, as well as multiple certifications and publications in the field.I have gained valuable hands-on experience in various research and industry settings, working with leading institutions and organizations such as KAUST, NII, stc, Nokia, and SEC. Most recently I worked on developing and implementing novel ML algorithms and models for image enhancement and restoration, achieving state-of-the-art results and improving the quality and efficiency of the process. I also collaborated with other researchers and professors, contributing to the advancement of the ML and CV domains.