Data Labeling
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I am an AI trainer and data annotation specialist with hands-on experience creating, reviewing, and improving high-quality datasets for machine learning models. My background includes annotating and auditing data for NLP, computer vision, and general ML projects, using tools like Labelbox, CVAT, and Prodigy. I excel at prompt engineering, dataset QA, and collaborating with engineering teams to streamline workflows and maintain data integrity. My contributions to projects such as Project Livermorium, Uvarovite, and Emerald have strengthened my ability to identify edge cases, develop clear annotation guidelines, and ensure robust training data for AI systems. I am passionate about process improvement and leveraging advanced spreadsheet modeling to enhance data delivery for leading research teams.
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Bachelor of Science, Information Technology
AI and Data Delivery Expert
Audit Associate