Andrew Hart, iOS Product Developer: CV

I’m a 27-year-old iOS Product Developer based in London, with 7 years experience building iOS apps and games using Objective-C, and more recently using Swift.

My work on AR Location technologies, using Apple’s ARKit, has been featured on Mashable, TechCrunch, and TheNextWeb, and received 3000 stars on GitHub.

I work with Xcode and GIT on a daily basis. I also have experience with Adobe Photoshop and Sketch, both of which I have used to design and export UI.

Work

Blippar: iOS Developer, September — November 2017. I worked with a team to continue my successful work on AR Location technologies, developing a range of new techniques for enhancing AR experiences, while also working on an AR-based social app.

Screeners: Lead iOS Developer, January 2016 — August 2017. Internal video streaming service used by leading Film and TV distributors. A key part of this role has been to allow users to securely stream and download content, integrating with FairPlay Streaming technologies.

MegaBits: Lead Developer, March 2014 — May 2015. Monster-training game, played using real-world locations. We used pseudo-random number generation to populate a virtual, living world that would appear the same across every device, with monster population dependent on real-world weather, time of day and geolocation.

Other Projects

I designed, developed and marketed a number of high-quality apps over time. They are covered in more depth on my portfolio.

Journalized, June 2012 — Personal diary app. Received positive reviews and over 200,000 downloads.

Summarise, May 2015 — Smart alarm clock. Integrated with a variety of APIs and libraries to provide relevant information across a number of categories.

Raise Emoji, October 2015 — Emoji virtual pet for Apple Watch. I used this project to learn about UI, animation and communication APIs of watchOS.

TwIM, February 2017 — A messaging app powered by Twitter DMs. Featured worldwide on the App Store.

ARKit + CoreLocation, July 2017 — Popular open-source library combining the accuracy of AR with scale of GPS data. Received thousands of stars on GitHub, and demos received thousands of likes and retweets on Twitter.

Links + Contact