About Gavin

I am an integration architect and senior engineer who has spent over a decade building and operating event-driven systems, cloud platforms, and the integrations that keep them talking.

Today I help growing services and SaaS businesses tame messy stacks, design reliable integrations, and build AI-ready workflows on AWS. Based in Melbourne, Australia - remote-friendly.

Book a call to see if we're a fit View integration & AI services

Integrations - AI-powered workflows - AWS - Reliability

From internal integrations to independent consulting

My career has been about making systems talk to each other under real-world pressure. Moving from Scotland to New Zealand to Australia, I owned high-volume pipelines, led integration and reliability work, and saw the same pattern over and over: more tools leads to more complexity unless someone owns the integration layer. Now I apply those lessons directly for clients who want their SaaS stack and AI assistants to work together without drama.

The narrative

I moved from full-stack product work into owning the integrations between CRMs, support tools, billing, and data platforms. That grew into platform and reliability work on AWS - designing event-driven flows, fixing observability gaps, and guiding incident response. Consulting is the natural extension: bring that integration-first mindset to teams without adding another platform to their pile.

Milestones along the way

Scotland -> New Zealand -> Australia
Moved across three countries while building and running integrations for growing product teams.
Owned high-throughput pipelines
Led event-driven data flows feeding CRM, support, and billing systems with a focus on observability and incident response.
GDPR and vendor integrations
Coordinated consent/erasure flows across multiple services and designed vendor integrations using SNS and event platforms.
Platform and reliability work
Rolled out alerts-as-code, pipelines-as-code, and integration observability to cut incident time and improve delivery.
Independent consulting
Apply those patterns to SaaS stacks and AI-powered assistants that plug into existing tools.

Why AI & integrations

AI-powered workflows are a natural extension of integration work: calling LLM APIs, retrieving the right context, and wiring the outputs back into CRMs, job tools, or support systems. The value comes from reliable interfaces, guardrails around data, and observability that matches the rest of your stack.

The focus is on durable, production-grade integrations across the SaaS tools you already use - CRMs, billing, job management, support, and data platforms - so automation and AI helpers have solid ground to stand on.

How I work

Pragmatic and transparent: explain trade-offs before committing to a path.
Integration-first mindset: design how systems and data talk before adding features.
Work shoulder-to-shoulder with in-house teams via pairing and architecture docs.
Prefer small, focused iterations over rewrites, with clear success criteria.
Documentation, diagrams, and observability as defaults, not afterthoughts.
Leave behind runbooks and ownership, not dependency on me.

Selected experience

Highlights from integration, AI, and platform work - kept high-level and anonymised where needed.

High-throughput event pipelines

Owned pipelines feeding CRM and support systems, designing data contracts, monitoring, and on-call practices.

GDPR data flows across systems

Coordinated consent and deletion requests across internal services and third-party vendors while keeping auditability intact.

Vendor integration architecture

Designed integrations via SNS and event platforms with validation, replay, and clear ownership boundaries.

Platform initiatives

Delivered alerts-as-code, pipelines-as-code, and integration observability so product teams could ship faster with fewer incidents.

Credentials and tools

The platforms, practices, and collaborative skills I bring to integration and AI projects.

Technical stack

AWS.NET/C#Node & TypeScriptTerraform & IaCCI/CD pipelinesEvent-driven architectureAPI and integration designObservability (metrics, traces, logs)AI/LLM platforms and evaluationData pipelines and messaging

Collaboration

Coaching and mentoring engineers
Incident leadership
Cross-functional facilitation
Working with finance and operations teams

FAQ

Quick answers for how I work with clients and teams.

If your SaaS stack feels more like a knot than a system, let's talk.

Share a bit about your tools, team, and where things feel brittle. We will explore whether the stack review or a focused project is the right next step.

Book a call to see if we're a fit Connect on LinkedIn