You need it built and shipped. Not prototyped.
Frontend, backend, DevOps, data, AI. One engineer.
Most projects stall because the team can't cover the full stack, or the AI piece is bolted on as an afterthought. I do both. I build production systems with AI baked in from day one — and I ship them solo.
The receipts:
- Built the system that tracks $500 billion in military assets for the Department of Defense
- Early engineer at Bitwave — scaled crypto accounting for Fortune 100 clients
- Sole engineer on an NSF-backed workforce platform architected for 100,000+ users
- Built cYpher.camp — 45+ courses, AI tutor, fitness tracker, every major AI model integrated. Solo.
What I Build
01 — Custom AI Agents
Claude Code, Codex, OpenClaw, or n8n tuned to your workflows. You describe the process, I build the agent. First working agent in the first session or we keep building until it works. Healthcare, real estate, law, finance, whatever your domain.
02 — Full-Stack Platforms
Multi-portal systems, real-time dashboards, SaaS products, marketplace platforms. I've shipped two production platforms solo with authentication, payments, microservices, and AI integrations. If you need it built and deployed, not just prototyped, that's what I do.
03 — AI Integration Engineering
Your product needs AI but your team doesn't know where to start. I plug in the right models, build the pipelines, and hand you a system your engineers can maintain. Not a demo. Production-grade, deployed, documented.
How It Works
You tell me what's stuck. What needs to be built, what you've tried, rough timeline.
I scope it and tell you what it costs. No discovery phase. No proposal deck. A straight answer.
I build it, document it, and hand it off. Monthly build sessions. No scope creep.
Pricing
- Custom AI agent or full-stack system built to your spec
- Monthly build session for new features, iterations, and maintenance
- Telegram access for async questions between sessions
- Deployed, documented, and handed off — not a prototype
Includes full cYpher.camp Innovator membership ($500/mo value)
The Old Way vs. One AI Orchestrator
Every hiring model you're comparing this to was designed before AI agents could write, deploy, and test production code. Here's what the old way actually costs:
| Role | Annual Cost |
|---|---|
| Frontend Engineer | $150K |
| Backend Engineer | $160K |
| DevOps / Cloud | $170K |
| AI / ML Engineer | $185K |
| Traditional team (4 hires) | $665K/yr |
| One AI orchestrator | $8K/yr |
I'm not cheaper because I cut corners. I'm cheaper because AI agents handle the volume and I handle the decisions. I operate on what I call the 4 Ds: Define the vision, Direct the agents, Defend the output, Decide what ships. That's the job now. Everything else is automated.
Got a real problem and a real budget?
Put some time on the calendar: share what's stuck, what you've tried, and your rough timeline.