Fractional AI Architect & Builder

Production AI Systems for Engineering Teams

AI agents, MCP tooling, and secure platform integrations - shipped with the judgment to adapt as requirements evolve. Security-first by default.

AI platform development for US-based teams · One architect who adapts with your product

How the fractional model works

Services

Three ways to work together

Whether you need strategic guidance, a production-ready platform, or help passing security reviews—CodeWheel builds and ships 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.

Learn fractional model

AI Platform & SaaS Development

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

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AI Agents & Automation

MCP servers, autonomous agents, and workflow automation that connect your tools — Jira, Stripe, HubSpot — with RBAC, audit logging, and human-in-the-loop approvals.

See agent development

15 years

Production engineering at Tesla, SaaS startups, and agencies

Independent architect

Direct access-no account managers, no handoffs

Full-stack AI

From agent orchestration to production deploy, one engineer ships it all

Specializations

What I specialize in

Agent & MCP Development

Production MCP servers and AI agents with RBAC, audit logging, and tool gating. Orchestration that survives security reviews, not just demos.

Workflow Automation

Connect CRMs, billing, support, and dev tools so agents handle the repetitive work — ticket triage, data sync, report generation — with guardrails and audit trails.

RAG & Retrieval

Production retrieval pipelines with pgvector, hybrid search, and context management. Integrated into agent workflows or standalone.

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The stack I ship

Production AI platforms, not prototypes

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

See the full stack View reference architectures

AI platform architecture with Next.js, MCP agents, and tool orchestration

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

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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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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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