Charlie Freundlich

Charlie Freundlich is a technical leader and people manager at Tesla, overseeing a talented team of engineers, project managers, data analysts, and technicians with a focus on cost reduction and quality improvement for S3XY, operations research, and computer vision solutions. He holds a PhD in decentralized control for mobile robotic systems and has lectured on nonlinear optimization and reinforcement learning at Duke University. Charlie has also made significant contributions to the field, including hosting technical sessions at major robotics conferences and discovering a highly accurate statistical model for 3D point cloud estimation using stereo vision. His expertise lies in utilizing tools such as Python, AWS, Linux, Kubernetes, and Docker.