Solutions Architect · AI Systems Operator · Platform Builder
I turn complex AI, SaaS, integration, and revenue workflows into systems people can operate.
Toronto, Canada · SaaS architecture · local-first AI · observability · automation · commercial systems
- Local-first AI control planes, inference routing, and GPU workflows
- Reliable SaaS backends with auth, tenancy, billing, webhooks, and data integrity
- Integration and identity architectures for complex business systems
- Operator tooling that turns infrastructure into a repeatable service
- Proof-first productization: documentation, packaging, checkout, fulfillment, and support
| If you want to… | Start with |
|---|---|
| See production-minded Python/API work | llm-inference-api · ollama-router |
| Explore AI workflow and image infrastructure | comfyui-api · Nautilus |
| See finance, cost, and reconciliation systems | Settler · TokenGoblin |
| See enterprise architecture patterns | identity-entitlement-broker · enterprise-integration-fabric · golden-path-platform |
| Browse applied research and experiments | JupyterNotebooks · AI-Agent-Portfolio |
| See the customer-facing surface | AI Automated Systems · storefront |
I operate a private, local-first AI lab and product platform. Its internal control plane, checkout API, audit API, compute lanes, and revenue database are intentionally private; the public profile links only to repositories and surfaces that visitors can actually open.
The operating loop is:
The design priorities are boring reliability, tenant and payment integrity, local privacy, observable operations, and small systems that reduce manual work.
- llm-inference-api — OpenAI-compatible local inference gateway patterns
- ollama-router — multi-lane local model routing
- Nautilus — deterministic operational AI infrastructure concepts
- comfyui-api — Cloudflare-facing ComfyUI integration work
- ControlPlane — control-plane exploration and operator architecture
- Settler — reconciliation intelligence for finance and operations
- TokenGoblin — AI spend and token-efficiency observability
- finops-autopilot — FinOps automation concepts
- reliability-platform — reliability-oriented platform work
- webhook-witness — webhook capture and inspection patterns
- identity-entitlement-broker — identity, entitlements, and policy boundaries
- enterprise-integration-fabric — governed integration architecture
- golden-path-platform — developer-platform and delivery guardrails
- commercial-architecture-simulator — experimental commercial modeling
- architecture-playbook — reusable architecture delivery notes
These public pages describe real artifacts in this repository. Availability, pricing, and fulfillment state are kept on the product page rather than overstated in the profile.
| Pack | Use |
|---|---|
| AI Command Center Setup | Local operator-control-plane setup |
| APVA AI ROI Benchmark | Reliability-adjusted workflow ROI analysis |
| SaaS Repo Rescue Audit | Auth, billing, RLS, webhook, and deployment review |
| Automation Retainer | Recurring workflow and operator support |
| ComfyUI Workflow Packs | Private local image-workflow assets |
| Settler FinOps Engine | Reconciliation and audit-trail patterns |
| TokenGoblin Cost Optimizer | LLM usage and routing cost controls |
| Consent-based Voice Training Kit | Adult, consensual, rights-aware voice workflows |
- Discover the actual system and constraints.
- Fix the smallest root cause.
- Keep private infrastructure private.
- Verify with real tests, endpoints, assets, and logs.
- Separate technical readiness from commercial proof.
- Document rollback and the next highest-leverage action.
If you are building a serious AI, SaaS, integration, or operations system, start with a specific problem, a measurable outcome, and a verifiable path to production.