Harshith Deshalli Ravi is a Robotics AI Researcher specializing in creating intelligent systems that bridge the gap between simulation and the real world. With a Master's in Data Science from the Illinois Institute of Technology and a Bachelor's in Electrical and Electronics Engineering, Harshith has a deep academic and practical foundation in robotics, machine learning, and control systems. His research at IIT involves developing a 5-DOF wearable exoskeleton for haptic teleoperation, where he enhanced operator control accuracy by 40% and achieved force-feedback latency under 100 ms. He is adept at integrating ROS, motor control, and VR hardware within NVIDIA Isaac Sim to create comprehensive sim-to-real digital twin workflows. Previously, as a Research Assistant at the Indian Institute of Technology, he designed and programmed interactive social robots using ROS2, improving learning rates for children with autism by 50%. As an Edge AI Engineer, he deployed real-time computer vision models (YOLOv5) on Raspberry Pi and Jetson devices with 95% accuracy, reducing inference latency by 30% through model compression. Harshith's work is driven by a passion for building robust, responsive, and impactful robotic solutions.