AI-Native Works.
AI-Native Works.

Engagements

How I Work

Production-grade systems in weeks, not months. Every engagement is scoped, time-boxed, and focused on shipping real output — not decks, not roadmaps.

What I Deliver

AI-Powered Systems

Full-stack applications and internal systems with AI woven in from day one. LLM pipelines, RAG, conversational AI, GenAI data processing — architected for production, not prototyped for a demo.

AI-Native Technical Leadership

Embedded fractional CTO for companies where AI is core to success. Roadmap, architecture, enablement, and output validation — every decision made through an AI-native lens.

Cloud Architecture & Infrastructure

Event-driven architectures, microservice platforms, cloud-native infrastructure on GCP. Migration planning and execution, Infrastructure-as-Code, production-grade DevOps.

GenAI Integration & Automation

Add AI capabilities to existing systems — document processing, workflow automation, intelligent assistants. Integrated into your infrastructure, not a standalone experiment.

Agentic Development Enablement

Help your engineering team adopt AI-assisted development workflows — tooling, processes, and hands-on coaching. Ship more with the team you already have.

Two Ways to Work Together

Many engagements start as projects and grow into something longer. A project reveals whether we work well together. When it does, deeper collaboration follows naturally.

Project-Based Delivery

You have a specific problem — a system to build, a migration to execute, an AI capability to ship. Scoped engagements with clear deliverables, typically 4–8 weeks. I architect the solution, build it using AI-native methodology, and hand off a production-grade system you own completely.

Embedded Technical Leadership

For companies that need more than a project — ongoing AI-native technical direction. I embed as your fractional CTO, applying the same methodology at the organizational level. Typically 1–3 days a week on a monthly retainer, structured around four pillars below.

The Four Pillars of AI-Native Leadership

Roadmap & Strategy

Technical direction aligned with business outcomes. What to build, in what order, and why.

Architecture & Tooling

System design, technology selection, AI integration strategy. The decisions that determine whether your product scales or stalls.

Developer Enablement

Introducing AI-native practices to your existing team. Not replacing engineers — making them dramatically more effective.

Output Validation

Quality gates, architecture review, production readiness. Ensuring what ships is production-grade.

How Engagements Work

The conversation

Every engagement starts with a conversation — no pitch decks, no pressure. We talk through what you're trying to solve, where you are today, and whether the right shape is a focused project with a clear endpoint or ongoing technical direction. Sometimes that starts with a proof-of-concept to validate a technical approach; sometimes with a technical assessment to surface where your architecture, tooling, or team needs leverage. Either way, you get a proposal scoped to the shape we've agreed on.

The rhythm

The rhythm depends on the shape. Project engagements run in focused sprints with regular demos and transparent progress — real output early and often, no black-box months of silence. Leadership engagements run on a steady cadence of strategic input, architecture reviews, and roadmap decisions — and a deliberate focus on growing your existing engineers into AI-native practice, because scaling the team you have is usually the right answer.

Ownership

Whatever the shape, you own what we build — code, documentation, architecture decisions, and the judgment behind them. Project engagements end with a clean handoff. Leadership engagements end with a team that's stronger than when I joined. No lock-in, no artificial dependencies.

Investment

I scope engagements around deliverables and outcomes, not hours. Projects are fixed scope against a fixed price; ongoing engagements are a monthly retainer against defined outcomes. Either way: you know the investment upfront, the risk sits with me, and there are no timesheets.

Typical Engagements

Proof-of-Concept & Exploration

4 hours – 2 days

Discovery & Scoping

1–2 weeks

AI Feature / Integration Build

4–8 weeks

Full-Stack System Build

4–12 weeks

Architecture Review & Migration Plan

2–4 weeks

Team Enablement & Coaching

Ongoing / retainer

Embedded Technical Leadership (Fractional CTO)

Ongoing, 1–3 days/week

Common Questions

AI-native means AI is integrated into how I work from the start, not bolted on afterward. I use AI tools to move faster on implementation while applying genuine engineering judgment to architecture and design decisions. The result: you get the speed benefits of AI-augmented development combined with the quality of someone who actually understands what they're building. The practical result: timelines compress dramatically. A project that would take a traditional team 6 months can ship in 4–8 weeks.
Agencies spread work across multiple people, often junior, with account managers in between. When you work with me, you get direct access to someone with a decade of engineering and business experience. No game of telephone, no junior developers learning on your project. The same person who designs the architecture also writes the code and explains it to you.
It starts with a conversation about your project - no pitch decks required. If there's a fit, I'll send a proposal outlining scope, approach, timeline, and investment. For most projects, we start with a validation phase before committing to a full build. This ensures we're building the right thing before investing significant time and resources.
For the right engagement, I embed as your fractional CTO — bringing the same AI-native methodology to your entire technical surface. This works best for founders and companies that need senior technical direction but aren't ready for (or don't want) a full-time CTO hire. I've led global engineering teams, managed a $300M+ business at Deutsche Bank, and turned around underperforming operations as GM — so board-level conversations, stakeholder dynamics, and strategic trade-offs are natural territory. The difference from a traditional fractional CTO: every decision is made through an AI-native lens. The goal isn't to manage your engineering team — it's to transform how your company builds.
Investment depends on scope and complexity. After our initial conversation, I'll provide a clear proposal with defined deliverables, timeline, and investment — no surprises. The goal is aligned incentives: you pay for outcomes, not hours.
All builds include comprehensive documentation for handoff. Your team can take over with confidence. If you need ongoing support, we can discuss a Fractional CTO arrangement. I don't create dependencies - the goal is to build something you can maintain and extend independently.
I take on a limited number of projects to ensure quality. Current availability is typically 4-6 weeks out. If you have a specific timeline, get in touch early so we can plan accordingly.

Let's Talk About Your Project

No pitch decks required. Tell me what you're building and let's see if there's a fit.

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