MCP server for BDDK (Turkish Banking Regulation) decisions and regulations
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Updated
Jul 17, 2026 - Python
MCP server for BDDK (Turkish Banking Regulation) decisions and regulations
An end-to-end AI dirven continuous financial auditing system using multi-agent LLMs for compliance, fraud detection, and risk assessment, leveraging public financial data for real-time, audit-ready insights.
LangGraph-orchestrated 3-agent labeling framework for KYC/AML data scarcity — RAG-grounded labels, LLM-as-Judge quality gate, configurable HITL. Production at a global financial institution, 1M+ annotation requests/cycle, ~35% accuracy lift.
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Transformer + LoRA NER pipeline for payment screening — extracts entities from SWIFT messages & banking text for sanctions/PEP matching. Production at a Tier-1 institution: precision 50%→90%+, automation throughput +50%, retraining latency −40%.
Senior AI Engineer portfolio — 7+ years building production agentic AI for financial compliance. Specializing in RAG, multi-agent systems (LangGraph), KYC/AML automation, and LoRA fine-tuning at Tier-1 institutions.
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