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ClassificationNuclear Technical Content Evaluation Project (AI content evaluation). Brings 35+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Doctor of Philosophy (Ph.D.), University of Kentucky (1996) and Master of Science (M.S.), University of Kentucky (1993). AI-training focus includes data types such as Text and Document and labeling workflows including Text Summarization, Entity (NER) Classification, and Classification.
TextText SummarizationEvaluating AI-generated nuclear technical content for accuracy/completeness/soundness; identifying omissions, misinterpretations, and areas for improvement; validating technical validity and regulatory acceptability.
TextEntity (NER) ClassificationDefine/validate relationships between knowledge graph entities; ensure accuracy/completeness of underlying data.
DocumentClassificationProvided independent consulting services to nuclear utilities, engineering firms, government agencies, and technology companies leveraging 30 years of nuclear engineering expertise. Responsibilities included reviewing AI-generated nuclear technical reports for accuracy/completeness/technical soundness; annotating nuclear industry events to train AI models; evaluating AI-powered safety assessments for technical validity and regulatory acceptability; and validating AI-generated nuclear knowledge graphs by defining and validating relationships between entities (reactors, regulatory requirements, safety systems, fuel cycle facilities, and organizations).
Doctor of Philosophy (Ph.D.), Nuclear Engineering
Master of Science (M.S.), Nuclear Engineering
Independent Nuclear Engineering Consultant and AI Content Evaluator
Senior Nuclear Engineer / Reactor Physics Specialist
