Indiana University Bloomington
Bachelor of Science, Public Affairs (Management)
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I have experience evaluating, analyzing, and refining AI-generated outputs across reasoning, summarization, instruction-following, and comparative evaluation tasks. My work includes building structured evaluation rubrics, ranking model responses, identifying hallucinations and factual inconsistencies, assessing reasoning quality, and improving prompt design for LLM training workflows. I have also developed detailed evaluation frameworks for response calibration, preference ranking, and quality scoring, with a strong focus on clarity, accuracy, nuance, and consistency. Through my work as a Generalist Evaluator Expert with Mercor, I have gained hands-on experience reviewing complex outputs and applying structured judgment in high-accuracy evaluation environments. My broader professional background in finance, consulting, and operations further strengthens my ability to contribute to AI training projects requiring analytical reasoning, domain expertise, and precision. As a Financial Advisor, I routinely synthesize large volumes of technical and financial information, communicate complex concepts clearly, and operate within highly regulated, detail-sensitive environments. This combination of quantitative analysis, communication skills, compliance-oriented thinking, and AI evaluation experience allows me to perform well on tasks involving annotation quality review, response evaluation, reasoning assessment, summarization, and data quality assurance.
Ryan M. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Bachelor of Science, Public Affairs (Management)
Founder and Owner
Financial Advisor