Rad, a founding engineer at Encord, leads a squad focused on developing physical AI tooling that supports robotics, autonomous vehicles, and other embodied AI systems. His team addresses challenges at the intersection of user experience, machine learning infrastructure, and data tooling by working with 3D sensor data to create high-quality datasets and training pipelines. Rad finds this work exciting due to the potential real-world impact of AI, such as enhancing self-driving cars and home robotics. He was drawn to Encord by its mission, the intelligent and kind team, and the opportunity to solve complex engineering problems. Rad advises prospective team members to be curious, proactive, and eager to engage, emphasizing the importance of building novel infrastructure for multimodal AI systems. He describes life at Encord as vibrant and meaningful, with a fast-paced environment filled with passionate individuals who aim to shape the future of AI.