UI design and development
Accelo is a business automation platform, It automates much of the internal processes of professional services businesses, from email capture and ticketing to project management
I kicked off discussions for and then lead react adoption. Involving a feasibility stage comparing other frameworks, namely could they work along side our existing codebase (mostly AngularJS). Then setting up the framework, educating the team and building out abstractions of interplay between react and angularJS to reduce the effective complexity for the team and make migration easier.
A major project I worked on was building the UI for a dynamic table page that allowed users to pick both columns and filters for the table. We used GraphQL to fetch data, and In order to do this in a data driven way we built a query builder to dynamically fetch columns, leveraging features of the tech like fragments and directives in order to let graphlQL do the heavy lifting leaving our code as simple as possible.
I oversaw a large safety monitoring network for a critical piece of rail infrastructure. The role involved a wide spread of responsibilities. Physical maintenance of system involving coordination with our trade persons and rail protection officers. Updates and extensions to the monitoring software. Project management for extensions to the system and multiple levels of reporting and meetings to meet regulatory requirements.
One of the most challenging parts of the role was stakeholder management as the work involved both the company employing our services, as well as multiple other third parties which at times involved high tensions when trying to get the root mistakes when they happened. The most valuable lessons I learnt during my time at Globetech is the importance of actively communicating before it was necessary and recording key decisions as they can help guide tense conversation in a positive direction, keeping the discussion objective.
Bachelor of Engineering Honours
Honours thesis was in novel segmenting techniques for brain tissue in fMRI data, using MATLAB.