- Contributed to the "Development of a Real-Time Fully Automatic Quality Control System to Detect Surface Defects in Steel Bars Progressing at High Speed," specializing in advanced image processing and deep learning techniques. - Applied and enhanced state-of-the-art algorithms such as Mask-RCNN and YOLO, achieving superior performance in defect detection and real-time processing. - Collaborated with a multidisciplinary team of engineers and researchers, fostering a collaborative environment that led to innovative problem-solving and project success. - Gained advanced skills in data management, statistical analysis, and computer vision, significantly contributing to the project's real-time quality control achievements.