AI Agent Development & Automation: Architected and deployed 10+ AI-powered investigation agents using Python and advanced SQL automation, reducing complex fraud investigation time from 2-6 hours to 3-15 minutes (85-97% efficiency gains). Built intelligent routing system (Super Agent) that automatically identifies and routes to specialized investigation workflows, eliminating manual recipe selection across 10+ different automation tools. Developed AI-powered executive communication system that automatically generates tailored email responses for high-priority escalations, incorporating case context and stakeholder preferences in under 1 minute. Advanced Fraud Detection & ML Applications: Created automated fraud pattern recognition systems for detecting coordinated operations, geographic mismatches, and mass posting behaviors across Facebook and Instagram platforms. Implemented AI-driven risk scoring algorithms that automatically assign priority levels (P0-P3) and escalation recommendations based on multiple fraud indicators.

Built and maintained fraud detection rulesets to combat digital transaction fraud, monitoring precision/recall and optimizing to reduce false positives. Conducted advanced SQL analysis of transaction data to proactively identify emerging fraud typologies such as card testing, account takeovers, and CNP fraud, reducing exposure. Partnered with Product, Engineering, and Data Science to implement automated risk controls, decreasing manual review workload while preserving user experience. Led cross-functional incident response during fraud escalations, conducting root cause analyses and implementing preventive measures.