Shaik Azeed

I am a detail-oriented and highly accurate Data Annotation Specialist with hands-on experience in 2D and 3D data labeling for AI and machine learning projects. I specialize in preparing high-quality training datasets that help improve the performance and accuracy of computer vision and AI models.

My expertise includes 2D image annotation such as bounding boxes, polygon segmentation, semantic segmentation, object tracking, keypoint annotation, and image classification. I ensure precise labeling by carefully following project guidelines and maintaining strict quality standards. Accuracy and consistency are my top priorities in every task I complete.

In addition to 2D annotation, I also have experience in 3D annotation, including LiDAR point cloud labeling, cuboid annotation, object classification, and 3D segmentation. I understand the importance of spatial accuracy in 3D datasets, especially for applications such as autonomous vehicles, robotics, and smart surveillance systems. I carefully analyze each frame or point cloud to ensure high-quality outputs that meet project requirements.

I am comfortable working with various AI annotation tools and platforms and can quickly adapt to new tools and workflows. I follow clear instructions, meet deadlines consistently, and maintain confidentiality with sensitive datasets. I also perform self-quality checks before submission to ensure minimal errors and maximum efficiency.

My strengths include:

• Strong attention to detail

• High accuracy and consistency

• Ability to follow complex guidelines

• Fast learning and adaptability

• Commitment to meeting deadlines

I am passionate about contributing to AI development by providing clean, reliable, and structured data that powers intelligent systems. If you are looking for a dedicated data annotation specialist who delivers precise and high-quality work, I am ready to support your project.