يحي عبد الجليل بن يحي

During my studies at the Higher National School of Computer Science (ESI), I completed several academic and personal projects focused on artificial intelligence, machine learning, and software engineering. My main research project involves developing machine learning models to classify encrypted QUIC network traffic using the CESNET-QUIC dataset, where I designed data preprocessing pipelines, trained and optimized multiple classification models, and evaluated ensemble techniques. I also developed an AI-powered Quran learning platform featuring Tajweed evaluation and pronunciation scoring, built a modern responsive portfolio website with Next.js and Tailwind CSS, and completed various software engineering and data science projects involving full-stack development, database design, and machine learning. Through these experiences, I gained strong practical skills in Python, TensorFlow, Scikit-learn, XGBoost, React, Next.js, Git, and modern software development practices while continuously expanding my knowledge through self-directed learning and research.