Alessandro Sestini is a research scientist at SEED, the research and development lab within Electronic Arts. His work focuses on the application of deep reinforcement learning (RL), inverse reinforcement learning, imitation learning, and large language models (LLM) to game AI and playtesting. Alessandro contributed to the game AI landscape, for instance helping develop LLM-based agents for the new Battlefield game. Alessandro published several academic papers and gave several talks about the intersection between machine learning and video game development, helping researchers and practitioners in adopting such technology.Prior to joining SEED, Alessandro obtained his PhD with honourable mention in Smart Computing and Computer Engineering from Università degli Studi di Firenze