Data Annonator
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I am an experienced mathematics educator and AI specialist with a strong background in data annotation, LLM evaluation, and AI training data quality. My work includes reviewing and annotating math content generated by large language models, identifying logical errors, and contributing to prompt engineering and dataset fine-tuning for STEM applications. I have authored over 1,000 structured evaluations to improve model performance and collaborated closely with engineers and researchers on AI alignment and model behavior in educational contexts. Skilled in Python, Jupyter, and data labeling tools, I am passionate about applying rigorous methodologies to ensure high-quality, ethical, and pedagogically sound AI outputs, particularly in the domains of mathematical reasoning and NLP.
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Doctor of Philosophy, Mathematics
Master of Science, Mathematics
Professor of Mathematics
Mathematics & AI Curriculum Developer