Hayes, England, United Kingdom
Product Designer with 4+ years of experience designing enterprise platforms, operational tools, and complex internal systems. I specialise in translating complex workflows into intuitive digital experiences across inventory platforms, operational dashboards, and internal B2B tools. My work focuses on: • Simplifying data-heavy interfaces • Designing scalable design systems • Aligning user needs with operational and business goals I’ve worked across enterprise environments including manufacturing platforms, verification tools, and internal business systems—conducting user research, mapping operational workflows, and designing role-based interfaces for complex environments. With a background in Service Design from the Royal College of Art, I approach design through systems thinking—considering the full journey across users, operations, and business outcomes.
Designed enterprise workflows for inventory management, business accounts, and product management modules • Built scalable Figma design systems and reusable UI components • Redesigned purchasing workflows reducing manual processes by ~30% • Applied service design methods to identify friction across operational systems
Conducted industry research within the metal recycling and scrap trading sector to identify trust and verification challenges in digital marketplaces. Collaborated with stakeholders and product teams to define requirements. Designed a mobile-based digital verification tool enabling users to scan piles of recycled metal using their phone, allowing the system to authenticate material existence and assess quality through computer vision and geolocation technologies.
Conducted extensive user research with operators, supervisors, and managers across multiple regions to identify usability challenges in production monitoring workflows. Redesigned complex assign loss, line monitoring and reporting processes, simplifying data entry and operational tracking. Designed role-based dashboards and operational workflows, improving production monitoring efficiency and data visibility by 12%. Reduced complex task completion time by 17% by streamlining system interactions and improving information hierarchy.