banking-compliance

AML triage prototype - This is a small Python prototype demonstrating how transaction monitoring alerts can be risk-scored and summarised for investigator review.

Designed a comprehensive Regulatory Reporting Simulator to replicate large-bank reporting processes under U.S. regulatory requirements. Engineered automated workflows for data consolidation, error detection, and regulatory submission formats. Delivered a realistic sandbox for compliance analytics and audit simulations.

A dual-pipeline bank responsibility platform utilizing a LangGraph multi-agent network. Features background automation cron loops and real-time interactive SSE chat streaming with state retention.

🏦 Unified Document Anomaly Detection & Autonomous Regulatory Compliance for Banks. Powered by 5 simulated AI agents.

Production RAG assistant for RBI lending guidelines & BFSI compliance. Features hybrid search (BM25 + dense), a trained ML re-ranker (67.9% P@4), statutory staleness detection, strict clause citations, and 100% refusal guardrails.