Curtis Martin

Software engineer and Care Culture co-founder in Sydney.

I build and maintain the internal systems used across Care Culture while completing a Master of Information Technology at UNE. I’m seeking a full-time graduate or junior software engineering role.

Engineering experience

Care Culture internal systems

Co-Founder & Director · 2021–present

After working in disability support, I co-founded Care Culture and became the sole developer of its internal tools, automations and data workflows.

  • Built onboarding, booking, invoicing, reporting and compliance systems using JavaScript, Google Apps Script and APIs.
  • Automated onboarding documents, signatures, forms and record creation, cutting hands-on processing to under two minutes.
  • Built Booking Buddy and have maintained it since 2021 to manage participant bookings.

Selected work

Projects

Seven-person UNE capstone · 2026

Badminton Stroke Classifier

Classifies badminton strokes from match video using PyTorch models and a React and FastAPI application. I contributed major frontend, backend and integration work, plus deployment and CI configuration.

Public repository

Svelte accessibility component · 2026–present

svelte-a11y-panel

I rebuilt Care Culture’s website in SvelteKit and TypeScript, then extracted its accessibility panel into a reusable Svelte 5 package.

Project site

Care Culture invoicing tool · 2021–present

Invoice-to-CSV

Converts invoice data from Google Sheets into Xero-ready CSVs for bulk import. It has handled Care Culture’s invoicing since 2021.

Public repository

Two-person UNE capstone · 2026–present

Badminton Computer Video Annotator

Our project is building a Python pipeline for generating and annotating badminton video datasets. I built the court-corner annotation tooling, produced the initial ground truths, migrated pose estimation to RTMLib and restored person detection.

Team repository

Education

Master of Information Technology

University of New England · Expected October 2026

GPA 7.0/7.0 · WAM 92.9

Relevant study: software development, databases, networks and security, distributed computing, artificial intelligence and machine-learning capstones.