• Built a multi-agent ML system for insurance underwriting automation • Processed 146K+ records to generate risk and conversion predictions • Integrated decision routing logic to simulate real underwriting workflows • Added XAI layer for interpretability (feature importance, decision reasoning) • Developed an interactive dashboard for real-time predictions • Designed for production deployment using API-based architecture