John R.
Product Designer Ii @PhysicsX
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WORK HISTORY
Product Designer Ii @PhysicsX
London, GB
Leading design system evolution across the platform, introducing semantic token architecture and scalable Light/Dark theming.→ Establishing a clear contract between design and frontend, ensuring components, tokens, and interaction patterns translate consistently into production.→ Driving alignment between Design and Engineering on system structure, component behaviour, and implementation standards.→ Working across complex, data-heavy products (e.g. simulation engineering and AI tooling), shaping workflows, interaction models, and consistency at scale.→ Identifying and resolving gaps between design and UI implementation, improving parity and reducing design–engineering drift.→ Contributing to navigation and structural foundations for platform-wide experiences, including shared shells and cross-product consistency.→ Exploring AI-assisted workflows (Claude, GitHub, Storybook, MCP) to accelerate UI generation and reduce the gap between design intent and shipped product.
EDUCATION
Sheffield Hallam University
BSc (Hons), Computing (Visualisation)
SKILLS
ABOUT JOHN R.
Product Designer focused on design systems and design–engineering alignment.I work on the systems behind products — defining how components, tokens, and patterns behave at scale, and ensuring design decisions translate clearly into production.At PhysicsX, I\'ve led work on the company\'s design system, including:→ Evolving it to a semantic token architecture with Light/Dark theming.→ Establishing a clear contract between design and frontend implementation.→ Driving alignment between Design and Frontend on component behaviour and system structure.My background in frontend development shapes how I approach design — not just how things look, but how they behave, scale, and integrate into real systems.I\'ve worked across complex, data-heavy products where workflows, interaction models, and consistency are critical. This has pushed my focus toward system-level thinking: how patterns scale, how decisions are made, and how teams stay aligned as products grow.More recently, I\'ve been exploring AI-assisted workflows (Claude, GitHub, Storybook, MCP) to improve the path from idea to implementation, and reduce the gap between design intent and shipped product.
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