Columbia University
Master of Business Administration, Finance
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I am an accounting and finance domain expert with over 15 years of experience applying my technical expertise to AI training data, LLM evaluation, and data annotation projects in the financial sector. My work focuses on developing and refining structured workflows for training and evaluating large language models (LLMs) within financial reporting, technical accounting, and transaction modeling domains. I specialize in prompt engineering, rubric design, RLHF supervision, and factual error detection, ensuring LLM outputs are GAAP compliant, analytically rigorous, and free from hallucinations or misinterpretations. My technical skills include Python, C/C++, SQL, and SAS, and I have built evaluation pipelines and scoring rubrics to measure model performance on 10-K filings, MD&A, and complex financial transactions. My hands-on experience in translating regulatory requirements into actionable data labeling criteria and providing detailed remediation feedback has enabled me to deliver high-quality training datasets and robust model evaluations for AI applications in finance.
Eric M. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Master of Business Administration, Finance
Bachelor of Science, Industrial Engineering
Accounting and Finance Consultant
Quantitative Model Development Consultant