Mohammad Hossain is a Principal Data Scientist at PG&E focusing on GenAI and ML DevOps. His expertise spans forecasting, Bayesian inference, NLP, MLOPs and energy disaggregation. In his most recent role at Intel, he was focused on optimizing energy and memory functionality in cloud workloads. At Q CELLS, Mohammad was leading projects across smart grids, demand response, energy storage optimization and image-based utility scale photovoltaic (PV) asset management. Mohammad completed his M.Sc. and Ph.D. at Case Western Reserve University focusing on utilizing machine learning and data science for developing a virtual energy audit tool for commercial buildings.