Frontend interfaces, ecommerce journeys and responsive UI implementation.
Technical Profile
A capability-focused view of how I build: frontend engineering, experimentation systems, ecommerce interfaces, engineering quality, automation and technical research.
AB Tasty variants, CRO ideas, controlled changes and optimisation workflows.
QA, debugging, accessibility awareness, performance thinking and cross-device checks.
Python, data interpretation, biomedical research and engineering analysis.
Capability 01
Frontend Stack
Core web technologies used to build customer-facing interfaces, responsive layouts and maintainable frontend experiences.
Applied Through
Applied through ecommerce UI development, campaign builds, product journey updates and reusable frontend patterns.
Capability 02
Experimentation Systems
Technical implementation of A/B tests, personalisation ideas and controlled frontend variations for ecommerce optimisation.
Applied Through
Applied through AB Tasty builds, variant logic, DOM-safe changes, experiment QA, tracking support and CRO delivery.
Capability 03
Ecommerce Interfaces
Practical understanding of ecommerce page types, customer journeys and commercial frontend implementation patterns.
Applied Through
Applied across PDP, PLP, basket, campaign areas, CMS-supported content and customer journey enhancements.
Capability 04
Engineering Quality
Quality-focused frontend habits that help changes behave reliably across dynamic pages, devices and browsers.
Applied Through
Applied through debugging, browser testing, responsive validation, PR review, accessibility checks and performance-aware implementation.
Capability 05
Automation & Tooling
Experience contributing to practical tooling and automation ideas that reduce manual effort and improve delivery workflows.
Applied Through
Applied through internal tooling concepts, AI-assisted workflows, accessibility checks and repetitive task reduction.
Capability 06
Research & Analysis
Technical academic depth across biomedical engineering, neurotechnology, data analysis and simulation-led engineering projects.
Applied Through
Applied through MSc neurotechnology research, Python-based analysis, BEng engineering design evaluation and finite element analysis.