Senior AI product builder.

I've spent nine years building and shipping products inside regulated enterprise B2B SaaS, most recently at Cotality (formerly CoreLogic), where I owned the P&L across an eight-product portfolio and worked across product, AI, growth, pricing, delivery and platform modernisation for Tier 1 Australian enterprises including CBA, NAB and ANZ.

That portfolio spanned property research (RP Data), consumer growth (OnTheHouse, one of Australia's highest-traffic property portals), AI-powered lead generation (Rita), digital advertising (Plezzel), valuation platforms for brokers and valuers (PropertyHub, ValConnect), and construction project intelligence (Cordell Connect). I led two M&A integrations, built give-to-get lead generation products from zero, and grew organic traffic by 25% through SEO and CRO strategy, establishing GTM as a portfolio-wide discipline.

Alongside the portfolio, I established the company's AI Governance Working Group, delivered its first commercial GenAI integration, scaled from zero to 10 production AI features in a regulated data environment, rebuilt the flagship platform to drive 20% MAU growth and 730% mobile expansion, and reduced churn by more than 30%.

After my son was born in November 2025, I took parental leave and used the period deliberately: family first, then a focused self-directed AI engineering lab to deepen my full-stack product capability. The goal was to close the gap between the AI strategies I'd been defining at scale and the reality of designing, instrumenting and hardening AI product capabilities.

The result: two vertical workflow reference builds used as applied AI engineering case studies. 50+ AI capabilities. Multi-model orchestration across six LLMs. AI voice agents. Eval frameworks. Native mobile surfaces. Stripe billing patterns. Real users and production-grade constraints.

This was a deliberate skill-building and proof-of-work period: using AI at every layer of the stack to design, build, test and operate production-grade product surfaces. The emphasis is capability transfer: bringing that combination of product judgment and hands-on AI execution back into a senior hands-on product role.

What I believe

• Product builders must ship. AI judgment comes from feeling latency, debugging hallucinations, writing evals and watching systems behave in production.
• AI governance belongs in the build. Not a compliance checkbox. The person shaping the product owns the user experience, the unit economics and the deployment risk.
• The best AI products are invisible. The future isn't chatbots. It's multi-agent systems doing background work that users never see.
• Per-seat pricing is an existential threat to SaaS. Variable inference costs demand new commercial models. Price by work units, not logins.