I am a Software Development Engineer II at Amazon Robotics, where I architect zero-copy sensor management systems, fleet telemetry platforms, and high-throughput data collection pipelines for warehouse automation. My background focuses on low-latency robot middleware, real-time control, and distributed sensor fusion across industrial, research, and field deployments. Previously, at Meta, I built ROS 2-based teleoperation pipelines and designed custom null-space motion controllers to gather high-fidelity demonstration datasets for Vision-Language-Action (VLA) and World Models. My industry experience also spans developing automated robotic testing frameworks for unreleased hardware at Apple, architecting sub-250ms teleoperation stacks and GPS localization for agricultural UGVs at Bovi.ag, and deploying end-to-end computer vision and closed-loop control for autonomous harvesters at Beagle Robotics. I hold a Master’s degree in Mechanical Engineering (Robotics) from Arizona State University. My core technical toolkit centers on C++, Python, ROS 2, state estimation (IMU/GNSS/LiDAR fusion via Kalman filtering), optimal control (MPC, LQG), and embodied AI