> expertise

Complex AI systems,
made operable.

From agent behavior and MCP contracts to recovery, observability, and production deployment.

AI Systems Engineering

Most engagements start here

End-to-end systems where models, product state, tools, and human decisions work together reliably.

  • ~ Agent runtimes and durable workflows
  • ~ Tool use, review gates, and recovery
  • ~ Structured outputs and evaluation
  • ~ State, memory, queues, and scheduling
  • ~ Web and mobile product surfaces
  • ~ Production deployment and observability
Get Started

MCP & Product Integrations

Make real product capabilities safely available to agents, assistants, and automation.

  • ~ MCP servers and agent kits
  • ~ Typed tool and resource contracts
  • ~ Authentication and authorization
  • ~ REST, GraphQL, webhooks, and events
  • ~ Idempotency and retry semantics
  • ~ Developer onboarding and documentation
Get Started

Production Hardening

Turn a promising AI prototype into a system that can be operated, recovered, and trusted.

  • ~ Lifecycle and failure-mode review
  • ~ Queue, lease, and retry hardening
  • ~ Billing and usage invariants
  • ~ Observability and operational tooling
  • ~ Migration and release rehearsal
  • ~ Security and data-boundary review
Get Started

Architecture & Technical Review

A bounded, evidence-led review when the difficult part is deciding what the system should become.

  • ~ Architecture and implementation review
  • ~ Cross-stack risk tracing
  • ~ Build-versus-buy decisions
  • ~ AI and infrastructure cost boundaries
  • ~ Security and privacy analysis
  • ~ Concrete remediation roadmap
Get Started

How I work

1

System Map

Clarify the product outcome, state, actors, tools, constraints, and failure modes.

2

Bounded Plan

Define scope, proof, responsibilities, budget, and stop conditions.

3

Vertical Slice

Ship the smallest complete path through real product and infrastructure.

4

Production Proof

Test recovery, observability, security, deployment, and handoff.

Frequently Asked Questions

When should we work together?

When an AI product crosses several seams at once: agents, application state, integrations, background work, billing, security, and deployment.

Can you review an existing system before building?

Yes. A bounded architecture and production-readiness review is often the right first engagement.

Can you work with my existing team?

Yes. I can own a difficult vertical slice, pair with senior engineers, or provide architecture and production guidance.

Which stack do you use?

I work across TypeScript, React, React Native, Elixir, Rust, Postgres, Cloudflare, containers, and the stack already carrying your product.

Have a difficult system?

Bring the architecture, the failure mode, or the ambitious product.