Latif Adurzada is a sophomore undergraduate student pursuing his B.S Mathematics and Statistics at Purdue University. His research interest is application of reinforcement learning to create real-time adaptive algorithms. Latif’s work focuses on training a RL agent to analyze in-situ data and calibrate parameters to achieve micro-level control over the melted materials.