I work on practical safety systems for AI agents operating infrastructure and enterprise environments.

My background includes cybersecurity and machine learning systems built for large-scale operational environments. I previously worked on autonomous threat detection systems identifying anomalous network activity.

More recently my work focuses on generative AI systems, retrieval-augmented architectures, and safety guardrails for AI agents interacting with operational data.

Agent Sentinel explores a safety boundary between AI agents and real infrastructure actions, evaluating proposed actions using policy rules, risk scoring, and sequence-aware analysis before execution.