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ClassificationNVIDIA LLM Response Evaluation Toolkit. Brings 23+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, University of Florida (2010) and Bachelor of Science, University of Florida (2004). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.
TextClassificationEvaluate side-by-side LLM responses on reward-model annotation tasks across computer science domains, derive ground truth for algorithmic coding prompts, verify solutions with brute-force oracles and differential testing in Python and C++, document preference scores with evidence-based rationales, rewrite model outputs for factual accuracy and LaTeX compatibility, and review web-research training-data quality.
TextRubric-based comparison and scoring of model outputs for correctness, safety, hallucination risk, and instruction following.
TextClassificationStructured data validation and data-quality checks for records used in AI training and model evaluation.
TextRubric-based review and scoring of AI-generated code and technical explanations, including reviewer calibration and evidence-based feedback.
Master of Science, Computer Science
Bachelor of Science, Mathematics
Senior AI/ML Evaluation Specialist
Senior AI/ML Data & Evaluation Engineer
