CodeWheel AI - Production AI systems for SaaS teams

Fractional AI Architect & Builder

I Build Production AI Systems for SaaS Teams

RAG pipelines, MCP agents, and platform integrations - designed and shipped without hiring a full-time AI lead. Security-first by default.

AI Platform Development United States · One architect, end-to-end ownership

How the fractional model works

How I can help

Three ways to work together

Whether you need strategic guidance, a production-ready platform, or help passing security reviews-I build and ship alongside your team.

Fractional AI Architect

Part-time CTO guidance covering architecture, product strategy, and hands-on development. 20-40 hours per month for 3-6 months-senior technical leadership without the full-time hire.

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AI Platform & SaaS Development

Production AI platforms with Next.js, RAG pipelines, MCP agents, auth (Clerk), and billing (Stripe). From MVP to launch in weeks, not months.

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AI Security & Testing

Security baked into every build-prompt injection audits, RAG safety checks, and production hardening for investor diligence.

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15 years

Production engineering at Tesla, SaaS startups, and agencies

Independent architect

Direct access-no account managers, no handoffs

Full-stack AI

From RAG pipelines to production deploy, one engineer ships it all

Specializations

What I specialize in

RAG & Vector Search

Production retrieval pipelines with pgvector, hybrid search, and context management. Not just demos-systems that handle real query loads.

MCP Agent Development

Custom Model Context Protocol servers that connect Claude to your databases, APIs, and internal tools. Secure, auditable, production-ready.

Security-First AI

Every build includes prompt injection testing, tenant isolation audits, and penetration testing. Ship AI that's investor-diligence ready.

The stack I ship

Production AI platforms, not prototypes

Next.js + Vercel for the frontend. Neon Postgres with pgvector for RAG. Clerk for auth, Stripe for billing, MCP for agent integrations. Battle-tested stack that scales from MVP to enterprise.

See the full stack View reference architectures

AI platform architecture with Next.js, RAG, and MCP

Fit check

Who I work best with

Ideal clients

Pre-seed to Series A teams building AI-first products that need an experienced partner.
Founders or lean engineering teams who want senior-level help without hiring a full agency.
Startups who need to pass due diligence or vendor security reviews without hiring a full-time CISO.

Not the best fit

Organizations pursuing formal compliance attestations or large enterprise procurement cycles.
Programs that require 24/7 on-call coverage or a full multi-person implementation team.
Engagements seeking polished agency-style marketing over collaborative, transparent work sessions.

From the blog

Latest on AI platforms, RAG, and shipping fast

Dec 31, 2025

Drupal to Next.js 16: Migration Guide with jsonapi_frontend

Migrate Drupal 10/11 to Next.js 16 using jsonapi_frontend - a permission-aware JSON:API resolver. Run alongside Drupal or migrate fully with AI-ready architecture.

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Dec 27, 2025

Prompt Injection Testing: Methodology, Tools & Attack Patterns

A hands-on methodology for testing prompt injection vulnerabilities in LLMs, RAG systems, and AI agents-attack patterns, tools, and defense validation.

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Dec 1, 2025

Choosing the Right LLM: OpenAI vs Anthropic vs Open Source for Production

A practical guide to selecting LLMs for production AI platforms. Compare GPT-5, Claude Opus 4.5, Llama 4, and more across cost, latency, and capability.

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