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As an educational technology coach and adjunct professor, I bring a unique blend of instructional design expertise and practical experience in evaluating artificial intelligence outputs. My background includes analyzing AI-driven search results, reviewing machine learning privacy policy data, and evaluating generative AI tools (such as Google Gemini and NotebookLM) for educational and professional workflows. This hands-on engagement has given me a strong, practical understanding of prompt-response dynamics, content accuracy, and data safety compliance, allowing me to audit complex AI outputs with a sharp, critical eye. In addition to my AI evaluation experience, I hold a strong foundation in computer science pedagogy, with hands-on experience of languages like Python and Java. My analytical skills are further sharpened by extensive experience as a meticulous retail compliance auditor, a role demanding strict adherence to guidelines, acute attention to detail, and structured reporting. This diverse technical and evaluative skillset makes me uniquely qualified to provide the nuanced, high-quality feedback, logical analysis, and data annotation necessary to train and align advanced technical and educational AI models.
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Masters, Health and Physical Education
Educational Technology Coach
Reservations Assocaite