As a self learning project, I created a machine learning based price forecaster in Microsoft Azure. #DEVELOPER #CLOUD

Follow the tutorial from angular.io, an introduction to the essentials of Angular, a simple e-commerce site with a catalog, shopping cart, and check-out form was created. StackBlitz was used as the Integrated Development Environment (IDE). This was very easy to use and had a built in real time preview of the app. It was easy to deploy straight from StackBlitz to Firebase. See the working application: #DEVELOPER

Following the AWS tutorial for building a Serverless Web Application the Wild Rydes Webapp was created. The app allows users to request unicorn rides from the Wild Rydes fleet. The application presents users with an HTML based user interface for indicating the location where they would like to be picked up from and an interface on the backend with a RESTful web service to submit the request and dispatch a nearby unicorn. The application also provides facilities for users to r

This simple proof of concept I made explores how live data from physical machinery can be visualized in context via augmented reality. #IoT #DEVELOPER #AR

If we believe the hype, in the future everyone will live in VR and be trading via blockchain. In preparation, I put together a simple proof of concept to pull the latest Bitcoin price into a VR world. #3DGRAPHICS #VR #BITOOLS #DEVELOPER

The smart home of the future will be directly connected to energy markets, here I put together a couple of proof of concepts showing how easily that can be achieved: Frequency Responsive Smart Home: Lights in my lounge connected to a feed of system frequency (via ELEXON BM Reports) and turning on and off to help National Grid balance the generation and demand. Energy Market Flash Brief - Custom Alexa Skill: Here I developed a custom Alexa skill providing a flash brief utilisi