Andrei Gasic is a Physics–AI Application Engineer at Geminus, where he develops advanced physics-informed AI models for the energy sector. With a PhD in physics and a strong background in computational modeling and data science, he works at the intersection of physics-based simulation and machine learning. His current projects include building surrogate models and optimization frameworks for large-scale oil and gas surface networks, supporting operators in water injection management, gas gathering systems, and production optimization. Prior to joining Geminus, Andrei worked as a Research Scientist developing acoustic sensors for well integrity, focusing on multiphysics modeling and data-driven analysis. Passionate about bridging cutting-edge AI with practical energy applications, he is committed to delivering solutions that improve efficiency, reduce costs, and accelerate digital transformation across the industry.