Perception AI Engineer – Object Detection & Robot Vision

This Perception AI Engineer specializes in advanced object detection and robot vision, developing high-performance AI models for real-world automation. With expertise in deep learning, sensor fusion, and real-time image processing, they create AI-driven vision systems that enhance robotic perception, enabling accurate decision-making in dynamic environments. Their work powers industries like autonomous vehicles, industrial automation, smart surveillance, and medical imaging.

• Autonomous Warehouse Navigation System
  Developed an AI-driven vision system enabling autonomous warehouse robots to detect objects, avoid obstacles, and navigate in real time using sensor fusion and deep learning. Reduced collision incidents by 45% and improved operational efficiency by 60%.
  
  AI-Powered Smart Surveillance
  Created an advanced object recognition system for real-time threat detection in public spaces, integrating YOLO and edge AI for rapid response. Achieved 92% accuracy in detecting suspicious activity, improving security response time by 50%.
  
  LiDAR-Based Object Detection for Self-Driving Cars
  Designed a high-precision LiDAR and camera fusion model to enhance obstacle detection in self-driving cars, significantly improving perception in low-light and foggy conditions. Increased detection accuracy by 37% compared to traditional vision-only systems.
  
  AI-Assisted Medical Imaging for Early Disease Detection
  Built a deep learning model for automated tumor detection in medical imaging, leveraging convolutional neural networks (CNNs) to analyze MRI and CT scans. Reduced false positives by 30% and sped up diagnosis time by 50%.
  
  Vision-Guided Robotic Assembly Line
  Developed an AI-driven vision system that enables robotic arms to accurately detect, pick, and assemble complex components in manufacturing. Increased production speed by 40% and reduced defects by 25%.