Bounding Box Annotation
Executed precise bounding box annotation for a retail inventory management AI. Tasked with labeling individual products on store shelves to train computer vision models in detecting stock levels (full vs. empty). Leveraged a strong background in medical billing and transaction processing to maintain 99%+ accuracy in data entry and adherence to strict quality guidelines. Successfully contributed to a 5-month dataset used to automate out-of-stock detection for major retail chains.