AI Red Team Operations Console
A production-grade LLM Evaluation & Benchmarking Framework for systematic model auditing. Features parallel benchmarking, fairness/bias detection, MMLU integration, and a real-time analytics dashboard powered by React and FastAPI.
Production-grade platform for auditing AI/ML models for fairness, explainability, and robustness. JWT auth, SHA-256 model verification, paginated REST API, dark web dashboard. 30/30 tests passing.
Reproducible pipeline for silent-failure auditing in ECG accept-sets (MIT-BIH) with Newton–Puiseux onset scoring
Autonomous Update Review Architecture for Federated Learning. A full-stack platform for inspecting, scoring, and auditing model updates using SHAP explainability, anomaly detection, and ledger-based tracking. Built with FastAPI, React 19, and Flower.
Coordinate multiple LLMs in parallel for voting, debate, synthesis, critique, red teaming, and verification via MCP and Claude Code
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