Computer Vision Application Engineer (Data Labeling, Model Training, OCR for Industrial Automation)
As a Computer Vision Application Engineer, I developed Python modules to automate the detection of fractures and damages on surfaces after powder recovery and sandblasting. I built an object recognition model using YOLO for assembly quality control in wrench production and deployed action recognition models for behavior and output monitoring. I also implemented OCR workflows for digitizing legacy equipment data and synchronizing it to SQL databases. • Automated image-based defect detection using SSIM. • Labeled and classified tightening sequences in wrench assembly with YOLO. • Used OpenCV for OCR and legacy data extraction. • Deployed PyTorch models for worker action recognition and product counting.