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TextI am an experienced AI Operations Specialist with a strong background in data annotation, labeling, and the preparation of high-quality training datasets for AI models, particularly in the field of 3D computer vision. My expertise includes annotating complex 3D datasets such as point clouds, LiDAR scans, depth maps, and multi-sensor data, as well as performing object detection, semantic segmentation, and object tracking. I have hands-on experience working with various sensor data, including LiDAR and RGB-D cameras, and am skilled in developing and applying taxonomy frameworks to ensure data consistency and accuracy. Additionally, I am committed to bias mitigation in data labeling and have collaborated with cross-functional teams to deliver fair and balanced datasets for AI training. My technical leadership and ability to mentor others further support my capability to contribute to high-impact AI projects.
Reviewing all image modalities and determining if they all show the same object with the same pose
Labeling and categorizing of data according to predefined ontology and taxonomy frameworks, maintaining high consistency across complex datasets Identified and flagged potential biases in taxonomies and data labelling, working with cross-functional teams to mitigate these biases and ensure a fair, balanced dataset for AI training. Performed detailed data annotation, tagging, and classification based on the established taxonomy to prepare data for training AI models, ensuring high-quality, consistent, and accurate labels for large-scale datasets.
Sensor Data Processing Worked with LiDAR, RGB-D cameras, and multi-view imaging systems to accurately classify and tag objects within 3D environments.
Bachelor of Science, Educational Technology
3D Computer Vision Data Annotator
AI text Annoator
