Consulting · Engagements
How I Work
Agentic engineering: production-grade systems, built fast because the method holds quality at speed. Every engagement is scoped, time-boxed, and focused on shipping real output.
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 Engineering 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
Project-based delivery
You have a specific problem — a system to build, a migration to execute, or an AI capability to ship. These are bounded engagements with explicit outcomes, typically over 4–8 weeks. I architect the solution, build it with agentic engineering, and hand over a production-grade system you own completely.
Embedded technical leadership
For companies that need more than a project: ongoing AI-native technical direction. As a fractional CTO, I apply the same engineering discipline at the organizational level — typically 1–3 days a week on a monthly retainer.
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, and AI integration strategy — the decisions that determine whether a product scales or stalls.
Developer enablement
Introduce AI-native practice to the team you already have. Not replacing engineers — making them dramatically more effective.
Output validation
Quality gates, architecture review, and production readiness — ensuring that what ships will hold in operation.
How Engagements Work
The conversation
Every engagement starts with a conversation — no pitch deck and no pressure. We clarify the problem, where you are today, and whether the right shape is a focused project or ongoing technical direction. Sometimes that leads to a proof of concept, sometimes a technical assessment. Either way, you receive a proposal scoped to the shape we agreed.
The rhythm
Projects run in focused sprints with regular demos and transparent progress — real output early and often. Leadership engagements follow a steady cadence of strategic input, architecture reviews, and roadmap decisions, paired with deliberate enablement of the existing team.
Ownership
You own what we build: code, documentation, architecture decisions, and the judgment behind them. Projects end with a clean handover. Leadership engagements end with a stronger team. No lock-in and no artificial dependencies.
Investment
Engagements are scoped around outcomes and deliverables, not hours. Projects have a fixed scope and price; ongoing work uses a monthly retainer against defined outcomes. The investment is clear upfront, with no timesheets.
Typical Engagements
Common Questions
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.