San Yuan Yen

Trainer's Bio

San Yuan Yen is a seasoned Security Architect bridging the gap between SOC operations and AI/ML. From piloting global SOC detection engineering at TD Bank, processing millions of daily events, to architecting LLM pipelines at Persistent Systems, his focus is on end-to-end delivery across cybersecurity monitoring and real-time anomaly detection.

His work spans SOC architecture, threat detection, and incident response, alongside applied AI disciplines including GenAI, LLMs, RAG pipelines, autonomous agents, and MLOps. He has built and operated ML-driven security analytics platforms processing millions of events daily across global SOCs, and delivered production MLOps infrastructure on Azure ML with CI/CD, model versioning, and drift monitoring. He has also designed real-time anomaly detection systems for industrial and financial environments across independent consulting engagements.

His current focus is operationalising AI-driven threat management end-to-end, from autonomous pre-triage agents and LLM-powered hunt query generation to RAG-based analyst assistants and fine-tuned anomaly detection models.