Research-oriented Mechanical Engineer with a specialized focus on Energy Systems Optimization and Data-Driven Control methodology. Expert in Machine Learning algorithms (ANN, XGBoost) and Multi-Objective Optimization techniques with a marked interest in enhancing the efficiency of thermodynamic and fluid systems. Recipient of 'Scientist of the Future' award at the International Rover Challenge 2024 with multiple journal papers published and under review. Equipped with strong analytical skills and practical experience in renewable energy technologies, I am eager to contribute innovative solutions to complex engineering problems.