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Systems that are still running.

Some clients I can name and some I cannot. Where a client is withheld, the sector and the stack are not — and where the architecture is mine to describe, it is described rather than gestured at.

Each one says what I actually was on it: my own product, an employee on someone else's programme, or QueueOne engaged directly. Two of these are employee work, and a portfolio that does not say so is quietly claiming something it should not.

My own product — in private beta

A multi-tenant operating system for real-estate teams, where the hard part is ingesting other people's events without corrupting your own data.

Idempotent webhook ingestion keyed on provider event IDs, anonymous-to-identified event backfill, CREA RESO OData sync, and pgvector semantic search over listings.

  • Postgres
  • pgvector
  • Stripe
  • WorkOS
  • Twilio
  • Nylas
  • SendGrid
  • PostHog

As an employee of a consultancy, on the client's programme

A 25+ API micro-service architecture carrying a 1,000 req/sec SLA, in front of reservation systems that do not forgive sloppy integration.

Booking, seat maps, flight search and automated baggage handling, integrated against airline reservation systems under a contractual throughput SLA.

  • Amadeus Altea
  • Sabre
  • Azure Service Bus
  • Micro-services
  • DLQs and retry scopes

As QueueOne — built from nothing, still maintained

The business did not exist before the platform went live. That is the whole brief: it had to work from the first day, because there was no manual process to fall back to.

A Laravel platform handling catalog, checkout and transactional email for an Edmonton client whose business was built on top of it.

  • Laravel
  • Stripe
  • Mailgun
  • PHP

As co-founder — I built the platform

Three years live on both app stores, with geofenced push in the hands of real people, RAG search behind it, and organic traffic that arrived on purpose.

A Flutter app on the App Store and Google Play using location, geofencing, maps and push, with RAG-based search and a vector recommender behind it.

  • Flutter
  • Next.js
  • Google Cloud Pub/Sub
  • RAG search
  • Vector recommenders
  • Geofencing
  • Push notifications

As CTO and part owner

Getting regulator-ready reporting out of a white-labeled system I did not control, for a cash-to-crypto network that was live and taking real money.

FINTRAC reporting extracted from a vendor platform, KYC integrated into onboarding, and non-custodial fund movement between bank accounts and third-party APIs.

  • FINTRAC reporting
  • KYC and identity verification
  • Third-party financial APIs
  • Non-custodial fund movement

Recognise your own system in one of these?

That is usually the useful signal. Describe what you have and what it is doing wrong, and I will tell you whether I am the right person for it.

Start a conversationhello@queueone.io