Company

System: "SuperGraph" Native Android App

Client: John Adams Ltd.

Technologies: Java, Android, XML

Problem: The app had been removed from the Google Play Store due to a reported stability issue. There were also problems with accessibility of some buttons on smaller screens.

Solution: Several minor fixes were implemented including build parameter and file format updates, and layouts were corrected to make missing buttons visible on smaller screens. Updates were tested on multiple emulators using Android Studio. The app was successfully redeployed to the Google Play Store, and a report produced detailing the changes.

Before:

After:

System: Stock price history pattern matching utility

Technologies: Python (asyncio matplotlib mplfinance pandas...)

Problem: Build a system which identifies stocks that are currently in the process of repeating previously observed price history patterns, based on low-high and high-low trend time intervals.

Solution: Our solution involves iterative analysis of a large large database of stocks, gathered from web sources. Price histories are divided into progressively smaller time period bins, with duration labelled the "granularity" of the iteration. The pattern of trends across bins is compared with recent price movements to identify matching segments. We then used a visualisation system based on Japanese "renko" diagrams to depict matches in an easy-to-digest format.

Note this is a bespoke system created upon request; we provided no advice on stock selection methods.

System: iOS and Android app to provide alerts when entering the London Congestion Zone

Client: Outbound BPO Ltd

Technologies: Rust, Javascript, Cordova

Problem: Drivers in London may find it difficult to keep track of and avoid the London Congestion Zone boundary

Solution: The system takes advantage of an Open Street Maps tiling server and Cordova's Geolocation Plugin to track the user's location in London. A push notification is sent when user approaches the Congestion Zone boundary.