Hi, I'm Stephen Bewers.
A web and UX problem-solver exploring front-end to full-stack.

See what I do

About me

Headshot of Stephen Bewers smiling, wearing a white shirt and navy blazer

I'm a web and UX professional who enjoys solving problems through code. In my role as Senior Web Officer (User Experience and Technical) at the University of Essex, I coordinate improvements to the University's website and supporting systems - finding and implementing practical, accessible solutions that make our platforms work better for users.

Outside of work, I enjoy developing personal projects that let me explore new technologies and ideas. Most of my work is in front-end development with HTML, CSS and JavaScript, but I'm now expanding into full-stack projects - building everything from the database and API through to the front-end interface.

I'm motivated by curiosity and problem-solving - whether that's debugging a tricky issue, refining functionality, or building something from scratch to solve a user need.

Projects

These are some of the demo projects I've built to further my skills. Each one was an opportunity to learn, create, and push the boundaries.

Pokédex

A fully-functional front-end web app designed and developed from scratch using data provided by PokéAPI.

This app was built with React using Hooks. No CSS framework was used; all styles were built to achieve the exact design I wanted.

Google Analytics 4 has also been implemented and subsequent user cookie confirmation, as required by EU law.

See Live Source Code
Screenshot of the Pokédex web app

SmartBrain

A demo full-stack web app built using a PERN stack (PostgreSQL, Express, React, Node.js) and integrating with the Clarifai API for face detection.

This app demonstrates:

  • User registration and sign in
  • Secure password storage (hashing)
  • Communication between front end, server and database
  • Handling API response
See Live Source Code
Screenshot of the SmartBrain web app

I'm currently working on MusicDb - my own personal version of Last.fm. This a project to turn my music listening history which I've been collecting since 2007 into a comprehensive music analytics web app. Watch this space!