LLM Output Evaluation & Prompt Optimization
Internal Proprietary ToolingTextQuestion AnsweringText Generation
Conducted structured evaluation of Large Language Model outputs to assess instruction compliance, logical consistency, format adherence, and hallucination risk.
Designed prompt refinement strategies to improve determinism and reduce response variance. Implemented schema based output constraints and structured reasoning validation in AI assisted SaaS and compliance driven workflows.
Focused on:
• Output classification and quality scoring
• Instruction alignment validation
• Edge case scenario identification
• Prompt iteration and correction cycles
• Deterministic response structuring
Applied structured analytical frameworks to ensure accuracy, consistency, and high fidelity AI behavior.
Conducted structured evaluation of Large Language Model outputs to assess instruction compliance, logical consistency, format adherence, and hallucination risk. Designed prompt refinement strategies to improve determinism and reduce response variance. Implemented schema based output constraints and structured reasoning validation in AI assisted SaaS and compliance driven workflows. Focused on: • Output classification and quality scoring • Instruction alignment validation • Edge case scenario identification • Prompt iteration and correction cycles • Deterministic response structuring Applied structured analytical frameworks to ensure accuracy, consistency, and high fidelity AI behavior.
2023