Design systems and product surfaces for teams shipping faster with AI
I'm Vas—a Design Engineer building systems that hold up as teams ship faster, and the strategic judgement that decides what's worth building on top of them.
Better product decisions, built into systems that scale with the team and hold up as AI takes on more of the execution layer
Design systems
Designing, refactoring, and extending the systems your team and AI tools build on. Tokenised foundations, code-aligned components, documented conventions—built to be extended cleanly whether the next iteration ships from a designer, an engineer, or a model.
Product surfaces
Product, web, and marketing surfaces designed on-system. Brand, story, and product feel consistent from first touch to deep use.
Product strategy
Deciding what's worth building, what should stay, and what shouldn't ship. AI can execute well; the judgement of what to point it at is the part that doesn't get automated, and it's the part that decides whether the work compounds or just accumulates.
About
A decade in product design across scaling product teams, with the last few years focused on design systems, design engineering, and the strategic decisions that shape both. Past work includes Sage and Rosetta AI, where the design system became the foundation for three products.
Past clients include:
Sage
Maturing a design system at scale
When a design system reaches the size of Sage's—spanning multiple product suites and growing teams—the parts most likely to fragment under growth are the components, tokens, and patterns that get reused most. The work at Sage focused there: refactoring Figma libraries, building WCAG 2.2-compliant components designed for reuse across multiple suites, and standardising tokens so the system stayed maintainable in code. The cross-team nature of design systems work meant most decisions ran through engineering, design managers, and the wider design team—narrowing the gap between design intent and what shipped.
"If you’re looking for a contractor who can seamlessly integrate into an existing design team, look no further than Vas.
He’s efficient, collaborative, and gets the job done with excellence.
Over the past year at Sage, I was consistently impressed by his ability to quickly adapt, communicate his ideas effectively to stakeholders, and deliver complex design patterns.
The sheer volume and quality of his work were remarkable, and the Sage Design System wouldn’t be as mature or robust as it is today without his contributions."
Luke Emmerson-Finch, Sage
Rosetta.ai
Building a system from zero, then three products on top
When a small team needs to ship multiple products in parallel without fragmenting the experience or accumulating rework, the system has to come first. At Rosetta AI—an e-commerce personalisation platform using AI for product recommendations—that meant establishing the design system before the product surfaces, then using it as the foundation for three products: a suite of merchant-facing plugins, a web app combining a plugin builder with preference and conversion analytics, and the marketing site. The work spanned the strategic and the executional—deciding which products to build, how they connected, and what the system needed to support before any of them shipped.
