// CONSULTING
Senior AI-infrastructure help, from someone who's shipped the hard parts.
Start with a scoped discovery sprint. If you need someone to build it, too — we do that.
Book a discovery sprint// THE ENGAGEMENT
Enter low, climb only as far as you need.
Discovery sprint
Fixed-scope, paid engagement to scope the system: problem, architecture, build path, and what would have to be true for it to work in production.
Phase Deliverable:
A real architecture and build plan you own. We'll audit your current system and give an honest read on feasibility, risk, and next steps.
Advisory & architecture
System design and the hard-call decisions — hire the brain. You bring the hard problem; we bring senior AI-infrastructure judgment.
Phase Deliverable:
Deeper system design plans, architectural mock-ups and hard analysis of data structures and storage systems. A clear path forward and a technical project in motion.
Build the MVP
If you don't have a team to build it, we do. Hands-on delivery of the first real version, built to the architecture from Stage 1.
Phase Deliverable:
We ship a real MVP to production, instrumented and observable, with a clear path to maintainability. You own the code and the architecture.
Managed services
Ongoing support scoped to what you actually need. We figure out next steps together — not a productized SLA.
Phase Deliverable:
Determined together, per your requirements. We can provide on-call support, monitoring, and maintenance of the system we built together.
// SELECTED WORK
Hard things, actually shipped.
Proof items are capability-level. Client work is NDA-protected and presented without names; Patternwise is ours and fully nameable.
Agentic RAG — Patternwise
Full agentic retrieval pipeline for a live voice-journaling app: voice → transcription → pattern recognition → retrieval over a user's own history → grounded, personalized guidance. Built and in real hands.
LiteLLM cost routing
Multi-provider LLM routing layer with cost controls and model fallback — keeping inference spend predictable under variable load.
End-to-end encryption
User-data encryption across storage and transit in a mobile application — designed so the service itself cannot read user content.
Stripe / billing
Subscription and payment flows integrated with Stripe — trials, upgrades, webhooks, and entitlement enforcement wired end-to-end.
Compliance work
Data-handling and access-control patterns aligned to compliance requirements in a regulated context. Client is under NDA.
Qwen3 LoRA fine-tuning
Task-specific fine-tuning of a Qwen3 model using LoRA adapters. An emerging capability — focused and active, not a deep specialization.
// WHO THIS IS FOR
When to call.
Your AI works in the demo but falls over in production
You've proven the concept but the production version breaks under real load, real data, or real edge cases. We've seen that failure mode before, and we know how to engineer past it.
You're a founder with no AI team — and you need it built
You have the vision and the domain knowledge, but you need someone who can scope the system and then deliver it. We cover both.
You have engineers but need senior judgment on the hard call
Your team is capable but this architecture decision is high-stakes — model selection, retrieval design, infrastructure tradeoffs. Bring in a second opinion before you commit.
Start with a discovery sprint.
Fixed scope, real deliverables, and a plan you own — before committing to anything larger.
Book a discovery sprint