AI Infrastructure. Built in 90 Days.
I design and deploy internal AI systems for funded companies and product teams — seed through Series B and beyond, including revenue-backed operators. Typical situation: internal tooling is fragmented, manual, or outgrowing what you built first.
The work is production-grade — architecture, integrations, security, handover — not exploratory experiments. When systems and ownership matter as much as speed.
90-day engagements · $200k–$300k
What I build
- • AI agents & workflow automation
- • Secure backend architecture
- • Internal dashboards & admin tools
- • Data pipelines & integrations
- • Scalable cloud infrastructure
- • Deployment & production hardening
Everything is documented, maintainable, and built to scale beyond demos — for environments where reliability, data flow, and clear ownership are non-negotiable.
How it works
- 1. Architecture (Week 1–2): align on outcomes, map systems, define interfaces, lock scope.
- 2. Build (Week 3–10): implement core services, integrations, dashboards, automation.
- 3. Deploy (Week 11–12): hardening, monitoring, handover, runbooks.
Fixed scope. Senior execution. No bloated teams.
Good fit if
- • You're funded at any typical stage, revenue-positive, or both — and internal systems are the bottleneck
- • Your team is moving fast but infra is fragmented, split across tools, or still too manual
- • You're past the demo phase — work is business-critical, not a lab project
- • You want a single accountable technical lead for architecture, build, and handover
Not a fit if
- • You're looking for exploratory "AI experiments"
- • You want a large agency-style team
- • Budget is under $200k for the build cycle
Request a private intro
Share what you're building, your stage, timeline, and where the bottleneck is. I'll reply with next steps.