AI Inference Systems
Serving architecture, routing, latency and cost optimization, observability, and deployment tradeoffs.
Advisory · Prototyping · Production
I help teams design, prototype, optimize, and ship AI systems in the cloud: inference stacks, agent workflows, and applied AI prototypes that can move from demo to production.
Full-stack coverage from AI infrastructure and inference optimization to building AI systems, agent workflows, prototypes, and moving them into production cloud environments.
Serving architecture, routing, latency and cost optimization, observability, and deployment tradeoffs.
Focused prototypes that turn an applied AI idea into a working product path, not a slide-deck demo.
Agent architecture, tool use, memory and context design, evals, safety boundaries, and operational control.
Moving AI prototypes into production cloud environments with the right reliability, monitoring, and governance shape.
Three ways to engage, sized to the decision in front of you.
Recurring review of architecture, roadmap, and the tradeoffs your team is weighing. A senior second opinion on the decisions that are expensive to reverse.
A short, bounded engagement that turns an applied-AI idea into a working product path you can build on, evaluate, and demo to stakeholders.
An assessment of an existing system for reliability, cost, latency, and observability before it scales, with a prioritized list of what to fix first.
The work goes well when it is scoped and technical. A quick read on whether it is the right time to talk.
Workshops and team training that bring an engineering or product team up to speed on production AI — agents, inference, EvalOps, and the path from prototype to production.
A focused, hands-on session built around the AI systems your team is actually shipping — agents, inference, evals, and the production path.
A short training programme that takes an engineering or product team from applied-AI fundamentals to the patterns that hold up in production.
A decision-oriented briefing for leadership on where applied AI creates leverage, where it creates risk, and what to fund first.
Send the current system or idea, the outcome you need, the main constraints, and the timeline. I will reply if there is a focused way to help.