R&D Machine Learning/ Computer Vision Engineer
Current• Specialized in real-time computer vision for hotspot detection on solar panels using thermal camera technology and a first principles approach. Developed efficient detection algorithms on Raspberry Pi 4 using C, significantly enhancing system performance and reliability for critical applications.• Designed and implemented an obstacle avoidance algorithm to enable autonomous robots to detect and navigate around objects in real time, improving safety and operational efficiency. •… Show more • Specialized in real-time computer vision for hotspot detection on solar panels using thermal camera technology and a first principles approach. Developed efficient detection algorithms on Raspberry Pi 4 using C, significantly enhancing system performance and reliability for critical applications.• Designed and implemented an obstacle avoidance algorithm to enable autonomous robots to detect and navigate around objects in real time, improving safety and operational efficiency. • Spearheaded the development of image annotation processes, converting annotations to JSON format for training object detection models with TensorFlow and PyTorch, enhancing model training efficiency and accuracy.• Developed a comprehensive analysis toolkit for evaluating object detection accuracy, which includes generating confusion matrices and monitoring CPU and memory usage to optimize system performance.• Created and deployed a semi-supervised learning system for real-time model training; the system annotates detected objects, generates JSON files automatically, and refines learning processes continuously.• Innovated machine learning solutions to improve autonomous driving and agricultural tasks, utilizing advanced imaging and data analysis to develop adaptive and robust machine learning models for diverse environments. Show less