Chandrasekhar Saipureddy

Highly skilled Video Annotation Specialist with 2+ years of experience in data labeling, quality assurance, and AI/ML training data preparation. Proficient in annotating video frames for object detection, tracking, and segmentation tasks to train computer vision models. Adept at maintaining annotation quality, adhering to guidelines, and optimizing workflows for AI/ML projects.

Strong analytical skills with attention to detail and a commitment to delivering accurate and high-quality labeled datasets.

Video Annotation Specialist at Freelance (2021-01 – 2025-11)

Annotated and labeled video datasets for AI/ML projects including object detection, action recognition, and autonomous driving with high-quality standards.

• Annotated and labeled video datasets for AI/ML projects, including object detection, action recognition, and autonomous driving
• Maintained high-quality standards, ensuring 98–100% accuracy in annotations
• Performed frame-by-frame analysis for object tracking and segmentation
• Collaborated with AI/ML engineers to understand annotation guidelines and improve dataset quality
• Used CVAT, Labelbox, and Supervisely to label thousands of frames efficiently
• Assisted in data preprocessing and QA pipeline development to streamline annotation workflows

AI/ML Data Annotation Intern at DataEdge Solutions (2020-06 – 2020-12)

Labeled video and image datasets for NLP and computer vision projects with quality assurance and dataset preparation.

• Labeled video and image datasets for NLP and computer vision projects
• Conducted quality checks on annotated datasets to ensure model-ready data
• Assisted in dataset cleaning, normalization, and organization for machine learning pipelines

Bachelor of Technology (B.Tech) in Electronics & Communication Engineering – Jawaharlal Nehru Technological University, Kakinada (JNTUK) (2020)