Software developer · New Zealand
01. About
Building careful software across HCI, machine learning, embedded systems, and security.
I'm a developer who works closest to the boundary between people and systems — where sensors, models, and interfaces have to hold up in the real world.
My background spans postgraduate research, paid industry work, and teaching at the University of Waikato. I care about software that is rigorous under the hood and respectful of the humans using it.
Open to collaborations in HCI, ML, embedded systems, or security — reach out in Contact or connect below.
02. Experience
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Teaching
Tutor · University of Waikato
Tutor for COMPX234 and COMPX316 (2nd and 3rd-year papers) — labs, coursework support, and one-on-one guidance across programming and software practice.
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Research
Name generation for unidentified patients
Paid research in Python: generated temporary, human-readable names for unidentified patients during mass-casualty events and major IT outages — balancing clinical clarity, dignity, and workflow under pressure.
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Thesis
Machine learning for mental fatigue detection · MSc Computer Science
MSc thesis applying machine learning to mental fatigue detection — from sensor capture and feature design through model evaluation and human-centred interpretation of results.
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Community
Contributor · ReadingPeople
Contributor to open literacy and reading technology — collaborative tooling and experiments with the ReadingPeople community on GitHub.
Awards & scholarships
- MSc Scholarship — University of Waikato
- Summer Research Scholarship (×2)
03. Projects
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CheckMe — Period Tracker
Privacy-first period and reproductive health tracker — on-device storage, cycle predictions, reminders, and export. Android builds on GitHub Releases.
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Name generation for unidentified patients
Research codebase for temporary patient identifiers in emergency and outage scenarios — supporting safer handoffs when EHR systems are unavailable.
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Mental fatigue detection (thesis)
MSc thesis repository — machine learning pipeline for mental fatigue detection, including sensing workflows, feature engineering, and model evaluation.