I am a Master’s student in Electronics, Electrical Energy and Automatic Control (EEA), specialized in Artificial Intelligence applied to technical and energy systems. My academic background combines automatic control, system modeling, and energy engineering, with a strong focus on simulation, analysis, and optimization. I have hands-on experience in MATLAB/Simulink for modeling and control of dynamic systems, as well as in Python for scientific computing, data analysis, and machine learning. My projects include photovoltaic system modeling and diagnosis, control and stability analysis, and AI applications such as neural networks and autoencoders for data reduction, reconstruction, and classification. Professionally, I have gained experience in renewable energy systems, electrical maintenance, and system dimensioning, notably through internships involving photovoltaic installations, hydroelectric systems, and industrial electrical equipment. These experiences strengthened my ability to bridge theory and real-world systems, work rigorously, and solve complex engineering problems. Professional Goals My professional goal is to work as an engineer or researcher at the intersection of energy systems, automatic control, and artificial intelligence. I am particularly interested in roles related to energy optimization, smart grids, renewable energy integration, and data-driven modeling of technical systems. In the short term, I aim to pursue a Master’s internship or graduate position where I can apply AI and control techniques to real industrial or energy-related challenges. In the long term, I want to contribute to the development of efficient, intelligent, and sustainable energy systems, while continuously deepening my expertise in model-based and data-driven approaches.