I am an AI & Machine Learning Engineer driven by a logical approach to solving complex problems and a passion for building intelligent systems. With a solid foundation in Python and Object-Oriented Programming (OOP), I bridge the gap between theoretical algorithms and scalable software solutions.
My technical expertise includes:
Computer Vision: Developed a pneumonia detection system using ResNet50, focusing on feature engineering and model evaluation.
Object Detection: Experienced in implementing YOLO for real-time detection tasks.
Software Engineering: Built robust systems like student management and examination platforms using OOP principles.
I recently completed intensive training at the National Telecommunication Institute (NTI), where I refined my skills in Neural Networks, CNNs, and advanced Data Analysis.