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I am a Data Annotation & Labeling professional with 4+ years of experience delivering high-quality datasets for AI and computer vision projects. I specialize in precise, pixel-perfect annotation to support machine learning models with consistent and reliable results.
My expertise includes bounding boxes, polygon annotation, semantic and instance segmentation, keypoint labeling, and object detection across both image and video datasets. I have hands-on experience with industry tools such as CVAT, Labelbox, Supervisely, SuperAnnotate, and Roboflow.
I provide clean, well-structured outputs in formats like COCO, YOLO, XML, JSON, and CSV—ensuring seamless integration with your workflow and training pipelines.
I am committed to accuracy, consistency, and fast turnaround times, helping AI teams build more effective and reliable models through high-quality labeled data.