Systems Architecture · AI Infrastructure

I Architect AI Systems
That Run Real Businesses.

Infrastructure. Orchestration. Decision layers. AI connected to real operations, real data, and real outcomes.

Let's Talk Currently building: Storita.ai ↗

What I Do

Systems Before Prompts

I design AI systems at the architecture level. Not features — the machinery that allows AI to operate reliably inside a business.

  • • Multi-agent orchestration pipelines
  • • Memory and context engineering
  • • Decision layers above dashboards
  • • Secure AI infrastructure
  • • Autonomous reporting services
  • • Data-connected reasoning engines

I don't build AI features. I design the infrastructure.

How I Think

AI Is a Structural Layer

Most companies bolt AI onto existing systems. I design AI as part of the core architecture.

From routing and isolation to reasoning flows and validation — to infrastructure that respects scale and security. The difference is in the foundation.

The Stack

How a Production AI System Is Structured

Data Sources inputs & integrations Context Layer memory · state retrieval Orchestration routing · planning control Agents specialized reasoning Validation grounding checks Structured Output actions · reports APIs

Selected Systems

Built, Not Pitched

Vertical AI Decision Layer for eCommerce

Multi-tenant architecture with structured reasoning pipelines.

Stateless Autonomous Services

Independent AI services generating structured outputs and integrating into core systems.

Memory & Context Infrastructure

Persistent reasoning layers with isolation by design.

Secure Deployment Models

Self-hosted components and controlled routing strategies.

Who I Work With

Founders building AI-native products

CTOs integrating AI into core systems

Operators moving from dashboards to decision engines

If you need AI architected properly — not just integrated — we should speak.

Let's Talk

If you're building something serious and want the AI layer designed correctly —

let's talk.