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VideoI am a detail-oriented data annotator with hands-on experience in AI training data, including evaluating and annotating generative model outputs for large language models. My work at Innodata involved over 250 hours of structured human feedback, reverse prompt engineering, and rigorous dataset quality assurance, ensuring 100% accuracy and guideline compliance. I have a strong foundation in image and video annotation, frame-level verification, and edge-case detection, with proficiency in Python, SQL, and Excel for data analysis. My background in mathematics and computing, combined with experience in business analytics and social media analysis, enables me to deliver high-quality, reliable datasets for diverse AI applications. I am committed to maintaining evaluation consistency and producing structured documentation to support robust machine learning models.
Image annotation and video Annotation using segmentation and tracking objects from social media platforms
Bachelor of Science, Mathematics and Computing
Social Media Analyst Intern
Business Analytics Intern
