CodeWheel AI - Fractional AI Architect - Bay Area
AI architecture, security testing, and production code from one engineer with 15 years at scale. No agency markup, no junior risk—just one person who ships.
For CTOs building AI platforms
If your AI features feel unpredictable, leaky, or risky, we start by fixing the foundations—agent guardrails, RAG retrieval safety, and platform security—before scaling up.
LLM features behave unpredictably in production, especially under real user prompts.
RAG pipelines risk leaking tenant data or surfacing stale content you thought was gone.
Agents have too much power and can trigger unsafe actions without clear guardrails.
What you get
What I build
Security & testing baked in
Ideal for founders who
Fractional Engagement Model
Reserve 20-40 hours per month for architecture, security testing, and hands-on development. Most clients commit for 3-6 months with custom pricing determined during roadmap intake—senior technical leadership for a fraction of a full-time CTO.
Recent wins
Agent rollback controls
Added RBAC + confirmation workflow to an agent that could mutate customer data; prevented two high-risk operations during pilot.
Tenant-safe RAG
Rebuilt retrieval filters and chunk lineage so a multi-tenant platform passed a vendor security review without reindexing.
Prompt-injection hardening
Ran prompt-injection suite pre-launch; caught four vectors that bypassed content policy and patched them before GA.
How I can help
Comprehensive security testing including OWASP vulnerability assessment, penetration testing, prompt injection audits, and AI security consulting led by an AI consultant with 15 years of production experience.
See security testing detailsNext.js on Vercel + Neon Postgres AI platforms with RAG implementation, vector search, semantic retrieval, authentication (Clerk), billing (Stripe), observability, and security testing built in from day one.
See platform development detailsPart-time CTO guidance covering architecture, security testing, and hands-on development. Typical engagement: 20-40 hours per month for 3-6 months with investment scoped after roadmap review.
Learn fractional modelReady to see it in action?
Share your stack in a 30-minute session. I'll map out RAG implementation, security testing, and deployment strategy tailored to what you're building.
Stack in practice
Next.js frontends, RAG retrieval, MCP agents, and security baked in from day one. This is the reference stack I use on client builds—streaming, tenant-aware, and testable.
AI Consultant Trust Signals
15 years
Production engineering (Tesla, SaaS teams, agencies)
Solo consultant
Direct access-no account managers or handoffs
Security-first
Penetration testing & security audits baked into every build
Honest signal
Real LinkedIn profile with 15 years of production work (including Tesla). Early adopter deals include direct influence on the playbook and priority access so I can capture portfolio proof together.
Why CTOs hire me
Principal-level architect who also ships the code and tests it.
Security-first: penetration testing, RAG/agent guardrails, and observability baked in.
Direct access: no PM handoffs—decisions and fixes come straight from me.
MCP integration expertise
Model Context Protocol (MCP) servers let Claude Code, Codex, Gemini CLI, and other AI tools access your internal systems. I build production MCP integrations with proper auth, rate limiting, and observability.
Fit check
AI Security & Platform Development Resources
Jun 7, 2025
How to design safe, reliable AI agents in production—tool calling, guardrails, orchestration, and architecture patterns for real-world AI systems.
Read articleJun 7, 2025
A practical AI platform stack for real products—Next.js, Supabase, RAG, agents, security, observability, and scalable infrastructure.
Read articleJun 7, 2025
A complete guide to AI platform security—threat models, LLM risks, RAG safety, multi-tenant isolation, and controls that hold up in production.
Read articleReady to work with an AI consultant?
Whether you need penetration testing, RAG implementation, or full AI platform development, let's talk. As a solo AI consultant with 15 years experience, I provide direct access without agency markup.
