Twenty-five years building, securing, and operating the systems businesses depend on — now applied to AI that runs in production, not just in a demo.
For teams that can't send their data to a public chatbot. The AI does the labor — I own the architecture, the security boundary, the accuracy, and the sign-off.
Self-hosted LLM stack on your cloud or on-prem hardware, with secure access, tuning, admin controls, and an uptime runbook. Your data stays in.
A retrieval assistant grounded in your documents, wikis, and contracts — with an evaluation harness so answers are tested, and a review gate for high-stakes responses.
Document processing, compliance review, and deployment pipelines run by AI agents — with audit trails, approval gates, and human-in-the-loop checkpoints.
The same accountability, applied across the stack that runs your business.
Telecom, fiber, and wireless architecture; data-center and cloud infrastructure; operations built for scale and reliability. From greenfield design to keeping production alive under load.
Executive technology leadership without the full-time hire — digital transformation, technology roadmaps aligned to P&L, vendor and partner management, and M&A integration support.
Cybersecurity and risk management, identity and KYC / KYT pipelines, audit trails, and the controls that satisfy regulators in finance, healthcare, and fintech.
I've spent my career as the person organizations call when the technology has to work — as an IT Director, VP of Technology, Network Operations leader, and Fractional CTO across telecom, manufacturing, and fintech.
Today I run Infinihash, where I built an audited, gated agentic deployment platform and operate self-hosted AI on private GPU infrastructure. I bring that same discipline — security, observability, and accountability — to every engagement.
I work remotely with clients across the U.S., on focused projects or ongoing retainers. If your AI or infrastructure has to be right, that's the work I do.