Enterprise AI Lab Architect
Bridging the gap between Enterprise Governance and Bleeding-Edge Innovation.
We are at a technological inflection point identical to the dot-com boom. Companies are pivoting from traditional compute to Generative AI, but they lack the infrastructure to do it safely.
I build the sandboxes where innovation happens.
With 10 years of experience architecting global R&D facilities for Verizon/MCI and current expertise in Local LLM & Edge AI deployment, I design the secure, air-gapped, and hybrid-cloud environments that allow enterprises to test AI without exposing proprietary data.
The “Lab Mindset” Strategy
1. Infrastructure Reality
While others offer high-level theory, I offer hardware reality. I architect hybrid environments (Hyper-V, Linux, Jetson clusters) that balance cloud scalability with on-premise data security.
2. Governance & Safety
Innovation cannot happen without a safe place to break things. I design “Air-Gapped” RAG architectures and secure pipelines that align with SLA compliance and Disaster Recovery standards.
3. The Edge Advantage
Reducing cloud costs by offloading inference to the Edge. Expertise in optimizing models for Nvidia Jetson and NPU-accelerated devices to create cost-effective, local agents.