SURESH SANKAR

I’m a detail-oriented Senior Data Annotator with 3+ years of experience labeling high-quality datasets for ADAS (Advanced Driver Assistance Systems) and computer vision. I focus on accurate 2D/3D annotation, including semantic segmentation, object tracking, and LiDAR point cloud work to support reliable ML outputs.

In my current role, I annotate large-scale ADAS datasets covering vehicles, pedestrians, traffic signs, lane markings, signals, environment objects, and depth separation. I deliver expertise in 3D point cloud annotation using LiDAR + camera fused datasets, including bounding boxes and point cluster differentiation, while reviewing complex scenes with occlusion, night visibility, rain, fog, multi-object overlap, and dense traffic.

I also strengthen quality at scale—performing daily QC checks for consistency, identifying mislabeled datasets, and ensuring dataset integrity. I’ve trained and onboarded 15+ annotators, maintained 99% accuracy in weekly QC reports for 8+ months, reduced team annotation errors by 30% with micro-guidelines, and successfully handled 20,000+ images and point-cloud frames.