Results-driven Quality Assurance and Data Annotation professional with extensive experience in preparing and implementing quality assurance policies, performing inspections, and resolving workfow issues. Possessing over 4,000 hours of hands-on experience in AI data annotation, specializing in computer vision and natural language processing (NLP) models. Profcient in advanced labeling techniques, including bounding boxes, polygon annotations, and LIDAR. Highly skilled in utilizing industry-leading platforms such as Labelbox, v7 Darwin, and CVAT to streamline annotation processes, seeking to leverage strong analytical, communication, and technical skills to contribute to a dynamic team and support organizational growth.
