AI/ML Engineer
Driven AI/ML engineer with experience in developing and testing AI-powered solutions. Proficient in Python, Java, and various AI/ML frameworks. Passionate about creating innovative solutions for real-world problems.
Expertise in developing and implementing AI/ML models for various applications, including computer vision, NLP, and data analysis.
Proficient in software development concepts and practices, including OOP, SDLC, and Agile workflows.
Experience in data analysis, database management, and creating interactive dashboards for data visualization.
Developed a real-time driver-assistance system using Python and OpenCV for lane detection and a pre-trained YOLO model for vehicle and pedestrian detection.
Impact: Enhanced road safety by providing intuitive driving solutions.
Developed a custom YOLOv8 model for Egyptian license plate detection and integrated it with an IoT system (ESP32) and a relational database (SQL).
Impact: Achieved 93% accuracy in license plate detection.
Implemented a BioBERT Transformer model for abstractive summarization of complex medical reports and developed a FastAPI backend for real-time model inference.
Impact: Improved access to medical information through AI-generated summaries.
Completed AI and Data Science Fundamentals training program at Digital Egypt Pioneers Initiative (DEPI).
Applied knowledge through hands-on projects, collaborating in team-based settings to implement and evaluate AI solutions.
Pursuing Bachelor of Computer Science (Artificial Intelligence Department) at Delta University for Science and Technology.