Koppula Munna

Detail-oriented B.Tech graduate with 1 year of experience in AI Data Annotation and Data Labeling. Skilled in image, video, and text annotation for AI and machine learning model training. Experienced in object detection, bounding box labeling, semantic segmentation, object tracking, dataset validation, and quality assurance. Strong analytical thinking, attention to detail, and ability to follow annotation guidelines with high accuracy.

AI Annotation Analyst - The AI School

1 Year Experience

• Performed image, video, and text annotation for AI/ML model training datasets.
• Worked on object detection, bounding boxes, semantic segmentation, object tracking, and data labeling tasks.
• Conducted frame-by-frame video analysis to improve annotation accuracy.
• Validated datasets and identified labeling inconsistencies and errors.
• Maintained dataset accuracy above 95% through quality checks and annotation validation.
• Followed annotation guidelines and project requirements while meeting delivery timelines.
• Collaborated with AI engineers and project teams to improve annotation consistency and training datasets.

Bachelor of Technology - B.Tech - Usha Rama College of Engineering and Technology (2021-01 - 2025-01)