I build fast, reliable product systems from interface to infrastructure.I build fast, reliable product systems from interface to infrastructure.

End-to-end ownership of a React-based internal operations platform, REST APIs, real-time workflows, database performance, cloud delivery, and a prototype for AI-assisted WhatsApp lead automation.

• Built and evolved a production operations platform used by more than 100 employees across seven departments.
• Designed reusable React modules, role-aware interfaces, state boundaries, routing, API integration patterns, and real-time update behaviour for interconnected operational workflows.
• Reduced route-transition time from approximately 650 ms to 45 ms and page-load render passes from four to one through targeted frontend profiling and optimisation.
• Reduced average latency for affected MongoDB queries from approximately 120 ms to 8 ms by replacing collection scans with indexed lookups.
• Owned workflows spanning attendance, GPS geofencing, QR verification, RBAC, recurring tasks, real-time events, and WhatsApp and email notifications.
• Supported Git-based delivery, Dockerised deployment, AWS production support, debugging, and cross-functional translation of operational requirements into maintainable software.

Practical software-engineering support, automated assessment, debugging, and applied-AI reliability work across university computing modules and a live campus digital-twin initiative.

• Supported practical modules serving more than 3,000 students across Python, JavaScript, React, Django, Git, Linux, Haskell, machine learning, testing, and software-development practices.
• Diagnosed implementation defects and guided students through debugging, algorithmic reasoning, code quality, optimisation, version control, and automated-testing challenges.
• Developed automated tests and assessment workflows for DCU's Einstein laboratory environment, improving the consistency and repeatability of programming evaluations.
• Contributed to an AI-powered conversational experience integrated with DCU's Campus Explorer geospatial digital twin, an ecosystem serving more than 22,000 students and staff.
• Designed a structured evaluation and stress-testing methodology that reduced measured hallucinations by approximately 83% and improved response traceability through an auditable data layer.
• Collaborated with academic, research, and technical stakeholders and communicated complex engineering feedback in an actionable, learner-focused form.

Full-stack product engineering for a customer-facing SaaS platform supporting AI-assisted audience research, buyer personas, personalised content generation, and multi-step dashboard workflows.

• Developed reusable React components and dashboards for audience configuration, research review, persona development, and generated-content workflows.
• Used Redux to manage shared application state and predictable loading, success, empty, and error states across asynchronous customer journeys.
• Integrated frontend workflows with REST APIs through a consistent service layer, improving separation between presentation, state, and network concerns.
• Built and integrated Node.js and Python services supporting structured research inputs, metadata classification, AI-assisted processing, and SaaS functionality.
• Increased automated test coverage from 55% to 88% by expanding Jest tests and introducing Playwright end-to-end coverage for critical customer journeys.
• Collaborated across frontend and backend concerns using Git-based workflows, iterative debugging, and incremental feature delivery.

full-stack and frontend delivery across more than 20 responsive client applications, with hands-on Vue.js component development, REST API integration, reusable UI systems, cross-browser debugging, and measurable performance optimisation.

• Delivered more than 20 responsive web applications and customer-facing digital experiences using Vue.js, JavaScript ES6+, HTML5, CSS3/SCSS, REST APIs, and modern frontend tooling.
• Developed reusable Vue.js components, shared layouts, interactive forms, and data-driven views using component-based patterns that improved code reuse, consistency, and maintainability across client projects.
• Integrated frontend applications with RESTful backend services, handling asynchronous requests, form validation, loading and error states, and transformation of API responses into user-facing views.
• Created reusable UI patterns and a Tailwind CSS-based design system, reducing implementation time by approximately 35% while improving visual consistency across responsive interfaces.
• Improved Lighthouse performance scores by approximately 20–30% through code splitting, lazy loading, caching, asset optimisation, responsive images, and reduction of unnecessary client-side work.
• Debugged layout, JavaScript, API, and browser-compatibility issues across desktop and mobile breakpoints, using browser developer tools to isolate rendering and network problems.
• Used Git-based branching and review workflows and collaborated with designers, backend developers, and project stakeholders to translate requirements into maintainable, production-ready releases.