Vladyslav Shytko

Worked on project-based data annotation tasks for international AI-related projects, focusing on image and video data. Annotated and reviewed visual content according to detailed project guidelines and quality requirements.
Worked with short road-scene videos to identify and classify vehicle actions and situations, including whether vehicles were moving, stopping, turning, or performing other acti

Reviewed and moderated large volumes of user-generated visual content while ensuring compliance with platform policies and quality standards. Applied moderation guidelines consistently, identified policy violations, and made accurate, independent decisions in time-sensitive situations. Developed strong attention to detail, consistency, and quality control skills through daily work with high volume

Review and moderate user-generated visual content, identify policy violations, and apply moderation guidelines consistently. Maintain accuracy while processing large volumes of visual content and work independently in time-sensitive situations.

Developed an AI-assisted workflow for content moderation and visual data processing, combining Python automation with YOLOv8 to improve the efficiency and quality of dataset preparation and model evaluation.
Worked with image datasets by preparing, cleaning, validating, and organizing data, identifying duplicate and inconsistent annotations, and investigating false positives and false negatives. B