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Masoud Jafaripour is a research professional with extensive experience in control systems, robotics, and reinforcement learning. Currently serving as a Research Assistant at the University of Alberta, Masoud focuses on unifying safe and adaptive end-to-end pixel to action language models. Previous roles include Reinforcement Learning Researcher at the University of Tehran, where contributions included real-time parameter estimation and adaptive Kalman filtering for wearable healthcare devices. Additional experience as a Tutor at Andisheh Hamoon Institute involved instructing engineering students in automation and robotics courses. Masoud has held multiple research and engineering positions at Sharif University of Technology, including developing innovative control systems and sensor data analysis, and has a strong academic background with a Master's degree in Mechanical Engineering from Sharif University and ongoing studies for a Master's in Computer Science at the University of Alberta.