Anuar Sultan

My focus is on building reliable, end-to-end data solutions—from engineering transactional feature stores to deploying models into core banking systems. Having worked across R&D, ML Validation, and Portfolio Management (including IFRS 9 compliance and PD modeling), I bridge the gap between complex business requirements and technical execution. Beyond classical machine learning (XGBoost, LightGBM) and data engineering (PySpark, Airflow), I actively develop with Generative AI. Recently engineered a multi-agent financial risk investigation assistant using LangGraph, Claude API, and Model Context Protocol (MCP) to automate the triage of suspicious transactions. Core Stack: Python, SQL, Pandas, NumPy, PySpark, Docker, MLflow, Airflow, LangGraph.