Advisory & Fractional Leadership
Engagements for enterprise AI system reviews, agent red-teaming, zero-trust IAM migration, and distributed systems architecture. 16+ years; platforms processing 1M+ daily operations; agent workflows automating up to 70% of target operational tasks.
Target fit: Post-Series A through enterprise teams scaling AI beyond prototypes
System design for enterprise multi-agent platforms, context pipelines, low-latency LLM gateways, and microservice boundaries. Senior architecture ownership from decisions through delivery.
Target fit: Engineering leaders, CISOs, and platform teams with agents in production or pre-production
Threat modeling agent execution paths, prompt injection boundaries, credential leakage, confused-deputy exposure, and continuous policy enforcement at the runtime layer.
Target fit: Boards, executive teams, and operators who need a clear technical picture
Translating generative AI risk, agent governance, and infrastructure costs into ROI and operational blueprints without collapsing the architecture into a demo narrative.
Independent architecture reviews, red-team assessments, and embedded leadership.