Mohamed Bayomey

Trained in prompt engineering, attention-based NLP models, diffusion and GAN architectures, and led a text-to-image generation capstone using Hugging Face diffusion models with dataset preprocessing and finetuning.

Applied linear algebra and statistics to ML tasks, built neural networks with TensorFlow/Keras/PyTorch, and developed a sign language detection system using Mediapipe and ML algorithms.

Completed a focused training program on ML fundamentals, developed supervised and unsupervised models, and built an Egyptian ID OCR system using YOLO and OCR for text extraction.

Learned web development and open-source practices, built web apps using HTML/CSS/JavaScript/PHP, configured Apache server, and worked with MySQL for backend data handling.

Gained experience in data preprocessing, model building, and evaluation using SAS tools and developed predictive models for business-focused AI solutions.

Built end-to-end AI solutions including text-to-image generation, sign language detection, Egyptian ID OCR, and microplastic detection in water; optimized models via quantization and layer freezing and deployed prototypes with Flask/Tkinter.

Grade: 3.8188

Activities and societies: Graduation project: Microplastic Detection in Water Using AI; participated in multiple AI and ML trainings and capstone projects.

Bachelor's Degree in Computer and Data Science with strong coursework and projects in machine learning, NLP, and computer vision; graduated with CGPA 3.8188.

Activities and societies: Text-to-Image Generation capstone project using Hugging Face diffusion models.

Professional training in generative AI covering prompt engineering, mathematics for ML, Python, data preprocessing, ML/DL, NLP, computer vision, and a text-to-image capstone.

Activities and societies: Developed Sign Language Detection System using Mediapipe and ML algorithms.

Short-term training focusing on foundational mathematics, Python, ML libraries, neural networks, computer vision, and NLP; developed a Sign Language Detection System.

Activities and societies: Built Egyptian ID OCR System using YOLO and OCR techniques.

Machine Learning Engineer program covering linear algebra, statistics, Python, ML libraries, neural networks, and computer vision; built an Egyptian ID OCR system.

Activities and societies: Worked on web development projects and configured local Apache environments.

Open Source Developer training focused on web development (HTML, CSS, JavaScript, PHP), MySQL, and Apache server configuration.