Accident video annotation project involving precise time-segment labeling of accident events. Accident moments were accurately identified and annotated using Label Studio along with a custom-built annotation platform, ensuring high accuracy and consistency for AI training and analysis.

Labeled electronic components in circuit diagrams using bounding box annotation across Encord and Roboflow platforms to support computer vision models.

Utility infrastructure data annotation project involving precise labeling of utility poles, street lights, fire hydrants, and manhole covers using CVAT for AI and computer vision model training.

Worked on quality control and validation of inspection data for Fast Forward, ensuring accuracy of automated line patrol, thermal inspection outputs, and utility infrastructure annotations to support efficient maintenance and decision-making.