ESSEX
  |  LONDON
Prior to becoming a Full Stack Developer I spent 3 years as a Professional Footballer and another year as a recruiter within the Financial & Tech industry. This made me curious, and after learning more about Development and the Tech industry, I realised how well my skill set compliments the work. This is when I decided to enroll on the Stack Development programme with Le Wagon London. Since finishing at Le Wagon I have realised I really enjoy Front-end development and I am now learning React and JavaScript in more depth, which I've now started using on two of my most recent projects.
Podfast is a Progressive Web Application for mobile, which helps people on the go find and choose podcast episodes quickly.
Built with Ruby on Rails, JavaScript, HTML, CSS/SCSS, Bootstrap, AJAX, PostgreSQL, ActiveRecord, SQL, Spotify / ListenNotes APIs, PG_search, Acts as votable, Acts as Followable, Social-Share, Figma (prototype and wireframe)
The app home page, where users can find popular podcasts and browse new releases.
Users can also click a button to pick a random episode or see episodes their friends have listened to.
Introducing more flexibility into the user's search experience, with the option to select multiple categories, moods and set a duration in their preferences.
Episodes are sorted by relevance and can be filtered to show most liked and listened to.
Users can also see how many of their friends have liked each episode.
Users can listen, like, comment, share and add episodes to 'pod'lists.
'Pod'lists allow users to save multiple episodes from a search for later.
NOMAD a Ruby on Rails Web Application based on AirBNB, for adventurers looking for unique accommodation in highly remote locations.
Built with Ruby on Rails, JavaScript, HTML, CSS/SCSS, Bootstrap, PostgreSQL, ActiveRecord, SQL, Devise, Geocoder gem, Mapbox API, Axlolia places API.
Go to AppThe home page of the app, where users can search for accomodation by location.
Accomodation is listed adjacent to a map, which has markers and info cards to show facilities and distance from the search address.
Users can see more details of the selected accomodation, including reviews and request to book.
Users can see their upcoming bookings and review previous stays.