I am a passionate JavaScript and Node.js developer. I loved computers at a young age but only started coding in January 2015. Coding has changed my life, I love learning new stuff, solving challenging problems and building tomorrows software. I believe my greatest attribute is my ability to learn quickly and adapt.
CV - PDF format | CV - Microsoft Word format | LinkedIn | Email: [email protected] | Portfolio Website
- Fantaxyou music bot for Movement
- Bicshaveclub for Movement
- Workreduce for Movement
- Flight centre Queensland Quiz for Immediate Media
- Stockport - Suicide Prevention website using Jekyll --- Code
Core skills | Frameworks/Libraries | Testing | Tools/Others | Databases |
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Javascript | ReactJS | Jest | Git | MongoDB |
Node.js | jQuery | Qunit | Webpack | MySQL |
HTML5 | Angular | Gulp | DynamoDB | |
CSS3 | Wordpress | AWS EC2/S3 | ||
Sass | express & hapi | AWS Lambda | ||
PHP | Boostrap | Photoshop |
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TLDR - Joined the Founders & Coders bootcamp for web development and worked in several companies working with Javascript and NodeJS
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Started learning Javascript and NodeJS from January 2015 as my main programming language at Founders and Coders, a web development bootcamp. Used TDD and agile methodology to complete weekly sprint projects
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Developed commercial MVPs’s and freelance projects using ReactJS, Flux, QUnit, Mocha, Gulp
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Front end quality control for Apple websites in Europe working with large photoshop PSDs at WCRS
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Developed new ad products at Immediate Media, most notably an AngularJS advertorial website and revamping the company website from Sketch designs
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The sole developer at Movement managing AWS EC2 Servers, S3 Buckets and writing code through codeCommit and codePipeline for continuous integration
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Developed a web application that uses the Instagram API, Google Vision, Amazon Polly, FFMPEG and SoX API that creates a smart and dynamic music video with your instagram photos
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Developed multiple responsive websites for clients using wordpress, ReactJS, HTML5, SASS, Javascript, Bootstrap
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Build raspberry PI’s, chatbots and Alexa Skills using Python and AWS Lambda