Machine Learning Engineer with a Bachelor’s degree in Data Science and Artificial Intelligence (GPA: 4.0/4.0). Strong expertise in Deep Learning and Natural Language Processing (NLP), with hands-on experience in developing and deploying machine learning models. Key projects include implementing a flower classification model using transfer learning and building a custom CNN from scratch, as well as creating an NLP sentiment analysis model that processed 30K IMDB movie reviews. Proficient in Python, Java, TensorFlow, with a solid foundation in algorithms, computer vision, data science, and deep learning. Achieved 2nd place in the Math and Algorithms track of the Arab AI Olympiad 2023. Bilingual in Arabic and English, with excellent problem-solving skills and a competitive, results-driven mindset.