At Vantage VisionAI, I labeled 500+ images per day with bounding boxes and segmentation masks for autonomous vehicle perception models, maintaining 90% accuracy. I also reviewed peer labels against gold-standard benchmarks and contributed to guideline updates that reduced ambiguous-case escalations by 25%.
At OpentrainAi, I performed polygon segmentation and keypoint labeling for retail product-recognition datasets. I also tagged product descriptions to support search-relevance model training.
At ClearPath BPO Services, I labeled structured and unstructured data for ML training sets, processing 400+ tasks per day. I identified a recurring template-formatting issue that caused mislabeled records and resolved it with the QA lead.

