What We Do
Senior engineering judgment. AI-speed execution.
For founders and early-stage teams
You have domain expertise and a product vision. You need it built — production-grade, on your infrastructure, with documentation your team can pick up tomorrow.
Early Stage Builds
From vision to production in weeks, not months
One senior engineer with AI-first tooling delivers what traditionally takes a team of 4-6.
How it works:
- Short discovery sprint (1-2 weeks) — workshops, problem framing, architecture
- Build phase — working application, deployed to your AWS account
- Full documentation and knowledge transfer included
You get: Product strategy, complete documentation, production infrastructure you own, and handoff-ready architecture.
Post-Build Retainer
Your product shipped. Now keep it moving.
Ongoing architecture support, feature development, and operational guidance after your initial build. The relationship deepens from delivery into partnership.
Includes:
- Feature iterations and roadmap execution
- Architecture reviews as you scale
- Infrastructure optimization and cost management
- Technical guidance for hiring your own team
For growth-stage and enterprise teams
You have engineers. You need senior technical judgment — someone who's built production systems for 20 years and knows how AI changes the calculus.
AI & Technology Leadership
Fractional CTO + strategy advisory
Senior technical leadership without the full-time hire. Architecture decisions, AI strategy, vendor evaluation, hiring guidance, and the judgment to know what not to build.
Flexible entry points:
- Fractional CTO — regular cadence, ongoing technical strategy
- Project advisory — bounded engagement around a specific decision
- AI strategy — practical roadmap for adopting AI across your engineering org
Background: 20 years building production systems at Bosch, US Department of Energy (PNNL), and high-growth startups. Engineering leadership across IoT, AI, supply chain, and energy.
AI Adoption for Teams
Process changes that stick
Your engineers are open to AI-assisted development but adoption is uneven. We embed AI-first practices into your existing workflows — not a workshop you forget next week, but process changes that stick.
What this looks like:
- Assess current development workflow and identify high-leverage AI insertion points
- Set up tooling, context architecture, and role-based AI workflows
- Train your team on spec-driven AI development
- Measure: cycle time, quality, developer experience
Based on: The APES framework — the same methodology behind GridPulse and active client engagements.
How We Work
You own everything
Source code, infrastructure, documentation, architecture. No vendor lock-in, no black boxes. Hand it to your team tomorrow.
Senior judgment, AI speed
One experienced engineer with AI-first tooling. You get the quality of a senior architect and the throughput of a small team.
Discovery before commitment
Every build engagement starts with paid discovery. We align on what to build, why it matters, and what success looks like — before writing code.
Production from day one
Real infrastructure, real deployment, real monitoring. Not a prototype that needs to be rebuilt. Your v1 is production-grade.
Not sure which track fits? Let's figure it out.
Most engagements start with a conversation. Tell me what you're working on and I'll tell you honestly whether I can help.
Get in touchI respond personally within 24 hours.