Andrii N.

I am a Data Annotation Specialist and experienced QA Tester with over 5 years of professional background. In the AI and Machine Learning field, I specialize in creating high-quality datasets. My core expertise lies in using tools like CVAT for complex image and video annotation (bounding boxes, polygons, semantic segmentation, and object tracking). My solid background in Quality Assurance gives me a unique advantage. Having worked on platforms like uTest and Test IO performing functional and UX testing, I apply the same rigorous QA mindset to data labeling. I regularly conduct audits of automated labels, identify edge cases, and ensure pixel-perfect accuracy according to strict client guidelines. Beyond testing and labeling, I actively study AI technologies (completing programs from Google, DeepLearning.AI, and OpenAI) to understand how robust ground-truth data impacts the final ML pipeline. I am meticulous, comfortable with large-scale tasks, and ready for both short-term QA/Annotation projects and long-term collaborations.