AI Model Evaluation and Training Data Development (Financial Domain)
TextQuestion Answering
Designed and tested complex financial scenarios to evaluate AI or model outputs in financial reasoning contexts. Assessed the factual accuracy, logical consistency, and analytical quality of text-based outputs and scenarios. Developed structured criteria and documentation to support reproducibility and reliability of financial decision-making data for AI.
• Evaluated model outputs for financial scenario accuracy.
• Identified logical inconsistencies and errors in reasoning.
• Created evaluation guidelines and edge case tests.
• Documented findings for future AI training purposes.
Designed and tested complex financial scenarios to evaluate AI or model outputs in financial reasoning contexts. Assessed the factual accuracy, logical consistency, and analytical quality of text-based outputs and scenarios. Developed structured criteria and documentation to support reproducibility and reliability of financial decision-making data for AI. • Evaluated model outputs for financial scenario accuracy. • Identified logical inconsistencies and errors in reasoning. • Created evaluation guidelines and edge case tests. • Documented findings for future AI training purposes.
2005 - Present