Vinayak Chaugule

I’m a detail-oriented Data Annotation & QA Specialist with 3 years of experience labeling and validating LiDAR, image, and video data for AI/ML model training. I specialize in creating accurate 2D/3D bounding boxes, segmentation, panoptic labeling, and keypoint annotations to support autonomous driving perception and traffic scene understanding. I also handle scenario labeling for vehicles, pedestrians, traffic signs, poles, and road boundaries.

I focus heavily on quality assurance: I perform data reviews, error detection, and accuracy verification to ensure guideline compliance, consistently maintaining accuracy above 95%. I detect and correct annotation errors, provide feedback to annotators, and collaborate with team leads to standardize labeling practices—delivering high-quality datasets on time for autonomous driving and mapping projects.