At Uber Technologies, I coordinate AI data annotation workflows across enterprise projects involving 2D/3D labeling, semantic segmentation, video tagging, and quality auditing. I conduct final-stage QA checks and work with cross-functional teams and clients on project requirements and delivery.
I’ve trained and transitioned 110+ team members into production for the Abyss project and managed production delivery with an average quality score of 95%. My project work has included LiDAR labeling, industrial defect classification, and video evaluation using annotation platforms such as Deepen AI, Encord, and Darwin AI.
