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Benchmarking the gap between AI agent hype and architecture. Three agent archetypes, 73-point performance spread, stress testing, network resilience, and ensemble coordination analysis with statistical validation.
AI agent evaluation framework for multi-participant coordination tasks. Built with LangGraph, custom MCP tools, and LLM-as-a-Judge evaluation. MSc dissertation project (University of Edinburgh, 2025).
A comprehensive benchmarking platform for CPT, ICD-10, and HCPCS coding questions. Identifies the most reliable models for healthcare applications. Evaluates multiple AI models on medical coding expertise through iterative consensus-building.
Uncertainty & Confidence Management (UCM): A healthcare AI benchmark suite for uncertainty recognition, justification boundaries, confidence calibration, proportionate action, and reassessment.
Comprehensive multi-IDE AI model benchmarking framework supporting Cursor, Windsurf, VSCode, and other IDEs with automated testing and performance comparison capabilities