Andrey Bernstein is an accomplished electrical engineer specializing in control and optimization of energy and power systems. He has extensive experience working with real-time control of microgrids, integration of distributed and renewable generation sources, real-time aggregation and demand response, integration and control of smart buildings, and AC, DC, or mixed networks. His expertise is also focused on the theory of adaptive decision making and control in complex environments, particularly in Markov decision processes and reinforcement learning. Bernstein has worked for prestigious institutions such as the National Renewable Energy Laboratory and has held various roles such as Group Manager, Senior Engineer, and Lecturer. He has also conducted research and taught at universities such as EPFL, Columbia University, Stony Brook University, and Technion - Israel Institute of Technology. With his proficiency in programming languages such as C/C++, Python, and ASP.NET, and operating systems like Linux, Unix, and MS-Windows, Bernstein's skills are undeniably valuable in his field.