LLM annotation
Senior Contributor in Outlier, a subsidiary company of Scale AI.
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I specialize in curating high-quality training data for AI applications, particularly in the robotics domain. My skills include: 1. Data Annotation for Computer Vision: - I’ve meticulously labeled diverse data modalities, including images and videos, for computer vision tasks. Whether it’s annotating object detection bounding boxes, semantic segmentation masks, or keypoints, I ensure precision. - My expertise extends to handling complex scenarios such as occlusions, varying lighting conditions, and diverse camera viewpoints. 2. 3D Sensor Data Labeling: - I excel in annotating 3D sensor data, including LIDAR point clouds and depth maps. These annotations are crucial for perception tasks in autonomous vehicles, drones, and robotics. - I’ve labeled 3D objects, road surfaces, and obstacles, contributing to accurate scene understanding and obstacle avoidance. 3. Robotics Systems Annotation: - I’ve worked closely with robotics researchers and engineers to create robust training datasets for robot perception and control. - Annotations for robot sensor data (such as LIDAR, RGB-D cameras, and IMUs) are essential for tasks like simultaneous localization and mapping (SLAM), object manipulation, and navigation.
Senior Contributor in Outlier, a subsidiary company of Scale AI.
Labeling indoor objects for autonomous manipulation robotics arm application
Bachelor's in Computer Science and Engineering, Computer Science
Robotics Software Engineer