AI Data Annotation Specialist | Computer Vision & LiDAR Datasets
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I am an aspiring Electrical and Electronic Engineering (EEE) graduate currently in my 7th semester, with nearly two years of professional experience in AI data annotation and dataset validation. I have hands-on experience working with image, video, and 3D LiDAR point cloud datasets for computer vision projects. My expertise includes LiDAR annotation, segmentation, object detection, and quality assurance using platforms such as CVAT, Label Studio, Segments.ai, and QGIS.
I am highly detail-oriented, committed to maintaining high data accuracy, and eager to continue growing in the fields of computer vision, LiDAR data processing, and geospatial technologies. I enjoy working in collaborative environments and contributing to the development of reliable AI systems through high-quality training data.
Jul 2025 – Present
Perform AI data annotation for image, video, and 3D LiDAR/point cloud datasets used in computer vision systems.
Conduct dataset validation and quality assurance (QA) to ensure accuracy and consistency.
Work with annotation tools such as CVAT, Label Studio, Segments.ai, and QGIS.
Annotate objects using segmentation, classification, object detection, and 3D bounding boxes.
Review and correct annotations to maintain high-quality training data for AI models.
Collaborate with team members to meet project requirements and deadlines.
Bachelor of Science (BSc) in Electrical and Electronic Engineering (EEE)
Northern University Bangladesh – Currently in 7th Semester
(Expected Graduation: [Month, Year])
Institute of Engineering and Technology (IET), Bangladesh – 2019 to 2023
CGPA: 3.47
