Existing Business
AI Integration
I help teams find practical places where AI can improve internal tools, support workflows, search, analysis, and operator decision-making without pretending every system needs to be rebuilt.
Open linkWhat I Offer
I work with teams that need infrastructure judgment, AI adoption plans, product architecture, technical leadership, or investment diligence grounded in how systems actually fail and scale.
Existing Business
I help teams find practical places where AI can improve internal tools, support workflows, search, analysis, and operator decision-making without pretending every system needs to be rebuilt.
Open linkNew Products
I work with teams building products where AI, knowledge layers, and operating feedback loops are part of the company architecture, not features bolted onto a dashboard after the product is already fixed.
Open linkSystems Delivery
I help teams bring up, validate, automate, and operate infrastructure where hardware behavior, cooling, networking, storage, Kubernetes, and developer workflows all matter.
Open linkLeadership
I provide part-time technical leadership for early teams making architecture, hiring, vendor, infrastructure, and delivery decisions under real constraints.
Open linkInvestment Support
I help investors and operators evaluate whether a systems-heavy company has credible architecture, infrastructure economics, delivery capacity, and technical differentiation.
Open linkRoles
I am open to senior full-time roles where systems judgment, product sense, and infrastructure delivery need to live close together. If I am currently employed, I am still open to making connections, referrals, and recommendations.
Open linkHow I Apply It
The advice is grounded in real delivery: GPU infrastructure, hardware validation, regulated environments, startup execution, reproducible systems, and operator workflows.
Built and led automation paths that moved bare metal GPU infrastructure into operational clusters with less manual sequencing and clearer acceptance criteria.
Validated high-bandwidth networking and storage behavior for AI and HPC systems, including topology, congestion, workload placement, and benchmark interpretation.
Worked through hardware, firmware, storage, networking, and reliability concerns in environments where operational discipline mattered more than novelty.
Helped fast-moving teams turn infrastructure ideas into customer-facing systems, internal platforms, and delivery paths that could survive real adoption.
Build practical Rust tools for infrastructure discovery, host automation, validation workflows, and operator-facing systems where correctness and portability matter.
Help pre-AI companies turn documents, workflows, customer context, and operator judgment into governed knowledge layers that AI systems can use without losing ownership or control.
Design observability paths for AI products and infrastructure so teams can inspect model behavior, latency, cost, retrieval quality, operator actions, and failure modes after launch.