Prof. Hind Lamharhar is a professor of Artificial Intelligence (AI) specializing in knowledge-based systems (KB), machine learning (ML), deep learning (DL), natural language processing (NLP), and large language models (LLMs). With over two decades of experience spanning higher education and industry, she has developed robust theoretical and practical expertise. She has coadvised doctorate students and taught diverse profiles, including master's and engineering graduates, at renowned institutions such as INSEA (Institute of Statistics and Applied Economics), HighTech (School of Engineering and Management), Mohammadia School of Engineering, and Mohamed V University. Her teaching combines traditional, online, and hybrid methods, often with custom-designed course materials. As a senior data and NLP engineer at Morocco’s Ministry of Economy and Finance, Hind drives AI initiatives in fraud detection, business intelligence, data analytics, and MLOps (Machine Learning Operations). She develops and deploys advanced ML, DL, NLP, and LLM models to enhance fraud detection in customs declarations. Hind plays a pivotal role in the Decision Support System team, contributing to projects in risk management, selectivity, foreign trade, and customs economic regimes. She oversees the full data pipeline, from extraction and preprocessing to model deployment and production monitoring, delivering actionable insights for decision-making. Her unique blend of academic and industry expertise enhances her teaching and research, equipping students with hands-on AI and (ML/LLM)Ops skills. Recognized for her innovative contributions, Hind’s work has been featured in publications, conferences, and applied AI projects, establishing her as a leader in AI education and implementation.