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Keesari S
@keesarisrinivas
Data Annotation Associate
India
Inglés, Telugu, Hindi
Sobre mí
I am a Data Annotation Specialist with 1.5+ years of experience in image, video, and LiDAR annotation, along with hands-on QA/QC responsibilities. I have worked on bounding boxes, polygons, segmentation, keypoints, and 3D cuboids, reviewing annotated data for accuracy, consistency, and guideline compliance. I handle edge cases and occlusions, use tools like CVAT and Labelbox, and ensure high-quality, production-ready datasets delivered on time.
Habilidades
Keesari S
desconectado •
Tiempo medio de respuesta: 21 horas
Revisa mis servicios
Etiquetado y anotación de datos
I will annotate image, video and lidar data with quality assurance
Experiencia laboral
Data annotation & QA
Arcsine privated limited • Tiempo completo
May 2024 - Nov 2025 • 1 yr 6 mos
Worked on large-scale AI training datasets involving image, video, and LiDAR data. Responsible for both annotation and quality assurance, ensuring datasets met strict client and model requirements. Key responsibilities included 2D bounding boxes, polygons, semantic segmentation, keypoints, object tracking, and 3D cuboid annotation for LiDAR point clouds. Performed QA/QC reviews, identified inconsistencies, corrected errors, and provided feedback to improve annotation accuracy and consistency. Used industry tools such as CVAT, Labelbox, V7 Darwin, and Supervisely, following detailed annotation guidelines and delivery timelines. Achievements: Reviewed and validated more than 20,000 of annotated images, videos, and LiDAR frames with high accuracy Reduced annotation errors by performing systematic QA checks before final delivery Handled complex edge cases and occlusions in 2D and 3D data Consistently met tight deadlines while maintaining quality-first standards Contributed to production-ready datasets used in computer vision and autonomous driving models
