Crafting intelligent digital experiences at the intersection of design systems, AI, and human behaviour.
Great design is the minimum bar. The real competitive edge is in the discipline behind it — the structure, the rigour, and the willingness to ship.
Design starts with the business case. Every interaction earns its place by moving a real metric — adoption, retention, conversion, revenue.
I build the architecture beneath the surface — modular systems, atomic libraries, and governance models that compound velocity across years and teams.
AI is integrated as a capability, not a gimmick. I design human-AI experiences that augment judgement, build trust, and keep people in command.
Ideas only matter when they're in customers' hands. I partner across engineering, product, and the C-suite to make sure great work survives the journey to production.
Build a complete digital brand and automated business pipeline from zero — without the cost, lead time, or creative overhead of a traditional agency model.
Volta needed to launch fast, launch smart, and build infrastructure that could scale without adding headcount. The mandate was AI-first, end to end.
Instead of running a conventional creative workflow with AI bolted on, I replaced the workflow entirely. Using GPT-4, advanced prompt engineering, and generative visual tools, I architected an end-to-end automated content ecosystem — covering brand identity, social pipelines, and video production — before a single external hire was made.


Launch a world-class streaming service across ten platforms simultaneously — iOS, Android, Apple TV, Samsung TV, PlayStation 4, and more — in twelve months.
The challenge wasn't aesthetic coherence. It was engineering a system flexible enough to stretch from a 1.5-inch watch face to a 100-inch living-room display without losing the brand's identity at any point along the way.
I built the P8 Atomic Design System — a four-level hierarchy that made scale manageable and speed sustainable.
The system was governed by five R.E.S.E.M. principles — Reusable, Easy, Simple, Efficient, Modular. UX was anchored to four motivators from the Contextual Archetypes framework: Empowerment, Control, Surprise, Delight. Not aspirational values — design constraints.
A clunky, non-responsive CRM was bottlenecking new customer acquisition. An expensive sales-led onboarding process meant every new account required heavy manual intervention.
The business didn't need a redesign. It needed a different operating model.
I led the transition from sales-led to product-led growth — shifting the core thesis from "our sales team sells the product" to "the product sells itself."
That meant rebuilding the platform architecture from the ground up: a modular system letting non-profits activate only the capabilities they needed, reducing complexity and onboarding friction at the same time. Alongside the redesign, I developed a feature roadmap prioritised by user impact and built the documentation infrastructure to support a scaling team.
The Sydney Morning Herald carried 180 years of journalistic authority and 7.68 million digital users who expected both — breaking news at speed and premium long-form journalism worth paying for.
Translating that dual mandate into a native mobile experience — while simultaneously building an architecture scalable across the entire Fairfax portfolio — was the design problem.
I led UX and information architecture for the SMH's first native iOS app, designing content hierarchies that could hold breaking news and long-form journalism in productive tension — each format given the visual weight and interaction model it required.
The larger play was a universal app architecture: a single codebase adaptable across all Fairfax brands, including the AFR. As sole app designer, I ran workshops and mentored web designers through the transition to mobile-first principles — building internal capability alongside the product.
I work across the full stack of product delivery — strategy through to shipped pixels. I don't hand off; I partner. From C-suite alignment to design system governance, I'm comfortable everywhere a product gets made.
Defining product vision and growth opportunities grounded in measurable outcomes — from discovery through validation.
Elegant interfaces for complex workflows. Scalable, governed design systems that reduce development time by up to 30%.
Generative AI workflows, prompt engineering, human-AI interaction design, and responsible AI adoption for real business use cases.
Leading cross-functional teams, facilitating design-thinking workshops, and mentoring designers through career inflection points.
Not everything needs a brief. These are the experiments, tools, and ideas I build in the margins — the ones that keep the craft sharp and the thinking honest.
An AI-assisted tool that pairs typefaces, generates specimen layouts, and exports print-ready PDFs. Built to scratch my own itch during brand projects.
A generative palette system that extracts brand-safe colour sets from images using perceptual colour theory. Exports design tokens for Figma and code.
An interactive reference for animation timing, easing curves, and micro-interaction patterns. Designed to onboard engineers to motion design intent without lengthy specs.
A personal operating system for managing, versioning, and rating AI prompts across tools and projects. Built in Notion, exported as a Figma component set.
A free Figma toolkit for identifying and documenting dark patterns in product interfaces. Used in workshops to build ethical design awareness in junior teams.
A GPT-powered tool that turns a rough project brief into a structured product design brief — with problem framing, success metrics, and open questions surfaced automatically.
Long-form thinking on the decisions, frameworks, and failures that shape how I work. No takes, no hot — just things I keep coming back to.
Most AI products fail at the same moment — when the model gets it wrong and the interface has no graceful way to recover. Here's how I think about designing for uncertainty, fallibility, and trust in human-AI systems.
A design system without governance is just a Figma library that slowly diverges from production. I've built three from scratch and inherited two broken ones. Here's what I've learned about what actually makes them hold.
Speed isn't about working faster. It's about making fewer wrong decisions. Here's the mental model I use to compress discovery, reduce rework, and ship things the first time that actually land.
Currently open to Principal and Lead Product Designer roles, contract engagements, and consulting opportunities at AI-first companies. Let's build something that ships.