neeraja varma

I am a detail-oriented Data Annotator with hands-on experience using the Ground Truth Annotation System (GTAS) for high-quality image, video, and LIDAR data annotation in the fields of computer vision and autonomous systems. My expertise lies in 2D and 3D annotation tasks, including object detection, segmentation, keypoint marking, and trajectory tracking. I am committed to producing accurate, model-ready datasets while collaborating effectively within fast-paced AI and ML teams.

Currently, I work as a Data Annotator specializing in GTAS at Randstad, contracted for NVIDIA. My role involves annotating image and 2D sensor data for autonomous driving and robotics projects. I have successfully maintained a 95% accuracy rate in my annotations by reviewing and correcting mislabeled data as part of the quality assurance pipeline. My collaborative efforts with the audit team and QA senior leads have led to refined annotation protocols that enhance data quality and consistency.