AI Reasoning & Structured Evaluation
Conducted independent structured evaluation and reasoning analysis involving long-context AI interactions, multi-step logical consistency checking, response quality assessment, and interpretable workflow review. Focused on identifying reasoning drift, structural inconsistency, and hierarchical coherence across complex outputs. Experience includes domain-specific analytical workflows related to Traditional Chinese Medicine knowledge structuring, symptom interpretation logic, and decision-oriented reasoning frameworks. Familiar with iterative prompt refinement, response auditing, and structured evaluation processes for knowledge-intensive AI tasks.