Oussama El Othmani is a computer engineer and embedded systems software engineer with a strong foundation in artificial intelligence, machine learning, and data science. He earned his Computer Engineering degree from the Tunisian Military Academy in Fondik Jdid (2020–2023), following a Preparatory Math–Physics Program (2018–2020) at the same institution. His academic coursework spans advanced learning, artificial intelligence, computer architecture, algorithms, databases, software methodology, and project management, equipping him with a robust technical skill set. Oussama’s project portfolio showcases his expertise in AI-driven solutions. Notable works include Oussama ChatBot V2 (October 2023), a large language model for medical consultations, and Blood Anomaly Detection (January–July 2023), an automated system for hematology using machine learning and computer vision. Other projects, such as Logistic Regression Analysis of Breast Cancer (July 2023) and Classification of Antibiotic Resistance (March–August 2022), highlight his focus on healthcare applications. He is proficient in Python, Java, C++, JavaScript, SQL, and frameworks like React, Django, and Spring Boot, with experience in deep learning, Linux system administration, and Google Cloud. Based in El Haouaria, Nabeul, Tunisia, Oussama combines technical prowess with a commitment to advancing intelligent practical systems, particularly in healthcare and defense.