Professional Overview
Senior AI Engineer with 10+ years architectingproduction-grade AI systemsin highly regulated financial and critical infrastructure environments. Specialized inagentic AI architectures (LangChain/LangGraph), automated anomaly detection, and secure data orchestration for threat intelligence. Proven track record of translating complex regulatory requirements (APRA CPS 234/CPG 235, AML/KYC) intodeployable AI agentsthat autonomously mitigate risk, correlate security events, and enhance system resilience. First-principle thinker with deep expertise in LLM fine-tuning (LLaMA, GPT-4, Claude) and multi-agent orchestration for security operations.AI-Driven Anomaly Detection:Architected and deployed LLM-powered anomaly detection systems using Python and Databricks to monitor 129 Critical Data Elements (CDEs) across enterprise systems; reduced threat identification latency by 35% through automated data-risk orchestration and real-time alerting.• Agent-Based Security Workflows:Engineered internal agent-based workflows using LangChain for automated root-cause analysis of data breaches and security incidents. Mapped findings to compliance frameworks (CPS 234/CPG 235), resolving 5+ high-risk vulnerabilities with autonomous remediation pipelines.• Threat Intelligence Correlation:Designed automated incident prioritization algorithms correlating fraud patterns, sanction screening (CSJ), and identity verification anomalies across Digital, Private Banking, and