Mahesh S M

Detail-oriented Data Annotator with 2+ years of experience in image, video, and LiDAR annotation for AI/ML projects. Skilled in CVAT, Labelbox, and ADAS datasets with strong expertise in bounding boxes, polygon annotation, segmentation, 2D/3D labeling, and quality assurance. Proven ability to deliver high-quality datasets (98%) with strong accuracy and consistency, supporting efficient machine learning model training.

Data Annotation Engineer - Samsung SEED Labs

(2023-11)

• Annotated 30,000+ images, videos, audio, and LiDAR datasets using CVAT and Labelbox for AI/ML model training with 98% accuracy.
• Reduced annotation errors by 20% through QA audits and validation processes.
• Performed 2D & 3D annotation including bounding boxes, polygons, and segmentation masks with high accuracy.
• Collaborated with ML engineers to refine annotation guidelines, improving data quality and consistency.
• Worked on ADAS datasets for autonomous driving and object detection models.
• Ensured timely delivery of high-quality annotated datasets for production use.

Master of Computer Applications - MCA - Cambridge Institute of Technology (2022 - 2023)

Bachelor of Computer Applications - BCA - Davangere University (2017 - 2021)