A reservoir simulation engineer with a specialization in developing and applying machine learning algorithms to solve practical problems in the oil and gas industry. Skilled in creating advanced computational models for solving partial differential equations (PDEs) related to reservoir simulations and enhanced oil recovery techniques. Actively working on integrating these methods to improve efficiency and accuracy in reservoir engineering processes.Specialties: Solving PDEs using machine learning, developing practical computational models for reservoir simulations, and applying advanced algorithms to enhance decision-making and operational efficiency in petroleum engineering.Skills: Python, PyTorch, Machine Learning, Deep Learning, Reservoir Simulation, Partial Differential Equations (PDEs), Enhanced Oil Recovery (EOR), Data Analysis, and Computational Modeling.