Temidayo Agbeniyi

– Built high-performance UI using React Native and GraphQL APIs for real-time communication. – Designed backend with Node.js, JWT auth, and deployed to AWS with Docker. – Exploring integration of LLM-based features (e.g. AI-driven recommendations / chat interfaces) using OpenAI APIs to enhance user experience.

– Part of Lloyds Bank's organisation-wide rebranding programme, leading updates to shared UI libraries and ensuring visual and functional consistency across multiple micro-frontends. – Designing and building scalable features using React, TypeScript, Node.js, and AWS, while leveraging AI-assisted development tools (GitHub Copilot, ChatGPT, Claude) to accelerate delivery and improve code quality – Strengthened component-based architecture, improving reuse and consistency across teams. – Driving technical modernisation by upgrading critical packages, dependencies, and build pipelines, reducing tech debt and improving long-term maintainability. – Collaborated closely with engineers through pair programming and code reviews to improve frontend quality and standards.

– Joined an early-stage startup, collaborating with the Senior Product Designer to build and enhance the company's web platform from the ground up. – Built responsive, high-performance UI from scratch using React and TypeScript, utilising AI-assisted coding tools (Claude, ChatGPT) to accelerate prototyping and iteration – Worked closely with design to translate UI into reusable component-driven architecture. – Practised TDD using Jest, ensuring reliability and maintainability. – Integrated Firebase services and Node.js backend APIs to deliver seamless, data-driven features in a rapid development cycle.

– Designed and delivered scalable cloud-native solutions using React, JavaScript, and AWS Lambda/S3/DynamoDB, aligned with digital transformation goals. – Collaborated on a micro-frontend architecture, implementing reusable components and promoting modularity. – Contributed to CI/CD pipelines (GitHub Actions) to support continuous delivery. – Improved application quality using unit tests (Jest) and E2E testing (Cypress), leveraging AI tools (ChatGPT, Claude) for test generation, debugging, and edge case discovery. – Participated in Agile meetings and cross-functional collaboration, focusing on continuous delivery and quality.

– Migrated the enterprise Xamarin mobile app to React Native, enhancing app stability and reducing bug count by 20%. – Designed and implemented scalable UI components and secure biometric login flows. – Improved app stability and performance through structured frontend engineering practices, supported by AI-assisted debugging and optimisation using ChatGPT and Claude. – Developed internal tools to automate repetitive developer tasks, reducing setup time for new projects by 30%. – Achieved 90% test coverage with Jest and React Native Testing Library to maintain production reliability. – Collaborated with teams to deliver personalised services for managing insurance, savings, and investments.

– Developed a dynamic front-end application using React, Next.js, and TypeScript, focusing on improving performance and reducing page load times. – Implemented state management using Zustand, React Query, and data visualisation components with D3 and Recharts, contributing to dynamic, data-driven interfaces. – Applied modular component design and integrated APIs using Axios. – Conducted frontend performance tuning and optimised deployment via Webpack and code splitting. – Followed cloud deployment best practices using Terraform for infrastructure as code, ensuring reliable, reproducible environments and easier cloud troubleshooting. – Contributed to Agile delivery processes with designers, PMs, and engineers.

– Implemented a multi-platform approach, resulting in a 20% increase in timely resolutions and a 15% boost in customer satisfaction ratings. – Elevated product visibility and customer loyalty by leveraging in-depth product knowledge; drove a 25% increase in repeat purchases.

– Developed internal tools using React, Node.js, and Python/Flask for real-time hospital data visualisation. – Leveraged AWS cloud services to deploy dashboards and REST APIs that enhanced patient bed tracking efficiency. – Created predictive features for bed occupancy using Python, applying machine learning techniques and data-driven modelling to improve decision-making in critical departments.

– Assisted in the development of the company's real estate website, implementing features like property listings, search filters, and interactive maps using HTML, CSS, and JavaScript. – Collaborated with senior developers to improve the user experience (UX) on the website, ensuring that property details were presented clearly and intuitively. – Gained hands-on experience with version control using Git and GitHub, working closely with the team to ensure smooth collaboration and version management. – Participated in Agile sprint cycles, attending daily standups, sprint planning, and review sessions, which helped improve communication and team collaboration. – Worked on bug fixing and site optimisation, learning how to debug and improve website performance, ensuring faster loading times and better user engagement.