Robotics Perception Engineer – AI-Powered Object Detection & Tracking Specialist

This Robotics Perception Engineer specializes in AI-driven object detection and tracking solutions, helping machines perceive and interact with the world accurately. By leveraging deep learning, sensor fusion, and real-time image processing, they develop high-performance perception systems for autonomous robots, self-driving vehicles, and industrial automation. Their expertise ensures precise object recognition, tracking, and decision-making for AI-powered robotics.

• Real-Time Object Detection for Autonomous VehiclesDeveloped a deep learning model for self-driving cars that identified and tracked vehicles, pedestrians, and obstacles with 97% accuracy. Optimized the system for low-latency performance, reducing detection time by 40%.
  
  AI-Powered Industrial Inspection SystemCreated an AI-based visual inspection system for manufacturing lines, detecting product defects with 99.2% accuracy. Implemented real-time tracking, reducing manual inspection costs by 60%.
  
  Multi-Sensor Fusion for Robotics NavigationDesigned a perception framework combining LiDAR, cameras, and radar for autonomous robots. Improved localization accuracy by 35% and enhanced navigation in low-visibility environments.
  
  Edge AI Object Tracking for DronesEngineered an AI-powered object tracking system for drones, enabling real-time identification and pursuit of moving targets. Optimized deep learning models for NVIDIA Jetson, achieving a 50% increase in processing efficiency.
  
  AI-Based Surveillance & Security MonitoringDeveloped an automated surveillance system that identified suspicious activity using AI-driven motion tracking. Reduced false alarms by 75% and improved real-time detection speed by 3x.