Company

System: Web application to display an interactive 3D animation of a truck loading a specified shipment

Client: Private

Technologies: .NET core, C#, Blender, Three.js, SQL

Problem: Create a web application which loads details of a user-specified shipment from a database, and depicts that shipment loading in a user-interactive animation.

Solution: This project integrates a number of separate areas of software engineering, including web development, 3D modelling and dynamic animation. The truck trailer with backgrounds and skybox were modelled in Blender, together with the Cargo bay and truck door opening animations - and these were imported into Three.js. Camera zoom and rotation were enabled using OrbitControls.js. The cargo box loading animation was created in Three.js directly using suitable vector mathematics, and the system mounted in a .NET core based framework. Specification of the shipment to load is provided by the user via a web form.

System: Assembler's Factory Floor Time-Tracking App

Client: Whippendell Marine

Technologies: Raku, CRO, Template::Nest, jQuery, CSS, MySQL

Problem: Create an application that interfaces with the company's existing Teamwork-based project management system and enables assemblers to log time spent on jobs - with design according to client spec.

Solution: A set of "Element" modules were created in Raku which inherited from a base module responsible for making calls to the Teamwork API. Syncing of local application data was accomplished with an independent daemon looping over and caching necessary user and project information in a MySQL database. Server-side rendering created dynamic content with Template::Nest, and the front end assembled HTML chunks delivered from the backend with jQuery. The system was designed to be deployed to Android-based tablet as a PWA app.

System:  Specific details are protected by NDA. However, this system - developed over a number of years - involved creation of a unique architecture utilising LLM technology in a novel way. 

Client: NDA Protected

Technologies: Llama3-70B (and other LLM and ML models), vLLM, Python, Transformers, Algorithms

Problem: NDA Protected - but relates to asset price prediction

Solution: The innovative approach involved making an analogy between the "fuzzy" system we needed to model, and certain more rigorously defined mathematical/physical systems. Specific details are NDA protected. For the implementation we took advantage of per-hour cloud GPU rental to perform the necessary heavy processing as cost-efficiently as possible.