AI Tools/Data Labeling Pipeline Engineer – Mediagates ORBIT
ImageBounding Box
Developed and deployed internal AI tools performing object and scene detection for content quality control automation. Led the creation of a YOLO dataset enhancement pipeline, focusing on iterative labeling and automation to accelerate annotation processes. Improved dataset label quality for media workflows using deep learning models and manual correction tools.
• Designed automated processes for video frame extraction and annotation.
• Implemented both automatic and manual annotation workflows, including smart filtering.
• Leveraged deep learning (YOLO, CNN) for pseudo-label and segmentation tasks.
• Enhanced annotation scalability for thousands of image frames and objects.
Developed and deployed internal AI tools performing object and scene detection for content quality control automation. Led the creation of a YOLO dataset enhancement pipeline, focusing on iterative labeling and automation to accelerate annotation processes. Improved dataset label quality for media workflows using deep learning models and manual correction tools. • Designed automated processes for video frame extraction and annotation. • Implemented both automatic and manual annotation workflows, including smart filtering. • Leveraged deep learning (YOLO, CNN) for pseudo-label and segmentation tasks. • Enhanced annotation scalability for thousands of image frames and objects.
2022 - Present