Full-stack, developing a backend, two mobile apps (patient-facing and clinician-facing) and a web app to facilitate collecting and rating video-based motor assessments.

Leading checkin meetings with users and producing documentary evidence and reports to claim a grant.

Worked on a distributed C++ server which handles a large volume of cybersecurity data from many client machines, deciding where data should go to be processed for machine learning.

Particularly focused on developing load balancing methods to provide the optimal caching performance for specific data flows.

Integrated the Sentry crash reporting system into their Android mobile app as part of the 'special projects' team - both in the Java frontend and the C backend. Sentry is a library that automatically captures runtime crashes and uploads the stack-trace to a server which can nicely display the errors.