Enterprise AI Governance Platform
Leading a 4-person team building an AI governance platform for usage monitoring, compliance auditing, and shadow-AI risk reduction.
Leading a 4-person engineering team building an enterprise AI governance platform; partnering directly with the CPO to translate product requirements into technical architecture.
Architecting a solution covering AI usage monitoring, compliance auditing, access/policy enforcement, and model risk/cost/usage analytics across the organization. Designing browser-level monitoring and data-loss-prevention (DLP) capability to detect and flag sensitive content entered into public AI tools, reducing shadow-AI data exposure risk.
Driving Agentic AI initiatives for infrastructure operations, automating incident investigation and root-cause analysis. The platform is moving toward its first client demo.
