AI Governance, AgentOps & Cost

As agents move into core workflows, the questions become control, risk, and cost. I help teams put AI governance in place before customers are exposed — evaluation, audit trails, permissions, and release gates — and run agents efficiently by routing across frontier, open-weight, and private models.

As co-founder and CPTO of MarkovML, I took an enterprise AI platform to SOC 2 Type II, with private fine-tuning and serving of open-source models inside customers’ own cloud environments.