Cost-sensitive credit card fraud detection on 1.3M transactions. Picks the decision threshold that minimizes expected dollar loss, avoiding $1.25M vs a naive baseline (XGBoost, PR-AUC 0.91). Adds a quant-risk layer (VaR/Expected Shortfall, walk-forward backtesting, PSI drift) and an agentic RAG investigation copilot. Interactive Streamlit app
Use Kiro CLI from inside Claude Code for code reviews and to delegate tasks to Kiro.
Static security scanner for Model Context Protocol servers. Paste files, a GitHub repo, or an npm package: get a 0–100 risk score, evidence-backed findings, an Amazon Bedrock risk narrative, and a ready-to-paste AWS Cedar policy for AWS Verified Permissions. Never executes the code it scans.
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