Mohamed I.

Mohamed I. is an accomplished AI Engineer based in Egypt, specializing in machine learning with a strong focus on deep learning, computer vision, natural language processing, and Transformers. Currently furthering his expertise with a Bachelor in Computer Science and AI from Pharos University, Mohamed has applied his skills in various innovative projects. Notable contributions include developing a face mask detection system using YOLOv5 and ResNet50, and creating an Egyptian license plate recognition system utilizing YOLOv8 and Arabic OCR. His technical acumen extends to building real-time hand gesture recognition systems with OpenCV, emphasizing his proficiency in computer vision. Through his education and ongoing AI training at the Arabian Academy, Mohamed has honed his capabilities in data preprocessing and developing scalable AI solutions using frameworks like TensorFlow and PyTorch. His linguistic abilities include fluency in English and native-level proficiency in Arabic.