Quality Analyst
Worked on annotating objects from LiDAR and 2D camera footage for autonomous driving datasets. Labeled vehicles, pedestrians, and environmental features using polygons and bounding boxes to support perception and tracking models.
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have hands-on experience in data labeling and AI training data preparation, specializing in LiDAR 2D video annotation, polygon labeling, and content moderation. My work involves ensuring high-quality annotations for machine learning models by accurately identifying, tagging, and categorizing objects across diverse datasets. I’m well-versed in using annotation tools for bounding boxes, segmentation, and polygons, maintaining precision and consistency under strict quality standards. In addition to annotation, I have contributed to content moderation and data validation projects, ensuring datasets are ethically curated and aligned with client guidelines. My attention to detail, ability to interpret complex visual data, and understanding of AI model requirements allow me to deliver reliable and production-ready datasets that enhance model accuracy and performance.
Worked on annotating objects from LiDAR and 2D camera footage for autonomous driving datasets. Labeled vehicles, pedestrians, and environmental features using polygons and bounding boxes to support perception and tracking models.
Bachelor of Science, Mathematics
Certificate, Computer Studies
Quality Analyst
Management Information Analyst