作品。

Brings four ranking systems (QS, Times Higher Education, and two U.S. News rankings) together for 3,790 universities across 40 years. A no-hard-coding pipeline pulls each ranking live and recovers QS history from archived edition IDs, published as an open, FAIR-licensed dataset.

As ASO7 Senior Data Analyst in SAPOL's Ethical & Professional Standards Branch, leads the high-level analysis behind complaint resolution, governance and disciplinary processes — building IAPro reporting templates and dashboards, and maintaining SAPOL's core data as the authoritative single source for strategic, corporate and Parliamentary reporting.

Co-founded a mobile app to help people discover and connect with others. Full product ownership from architecture through implementation as Dev Lead.

Built an internal tool to generate validated real South Australian addresses based on socio-economic status (SEIFA indices) and remoteness classifications — filling a gap no public API could address. All outputs verified via Mapbox API.

Scraped the UC Santa Barbara American Presidency Project to collect ~180 presidential debate transcripts and ~25,000 campaign documents, with multi-threaded processing, rate limiting, and full metadata extraction.

Built the first intelligence analytics capability within the CBS Prevention Team — integrating ABS, SA Health, ACCC, and DataSA data into unified dashboards and GIS maps used by the Minister's Office.

A clinician-facing and patient-facing mental health mobile app developed for the University of Melbourne's Psychiatry research group. Migrated from Uniapp to Expo React Native, reducing costs by ~$500/month and delivering a GDPR-compliant production application.

Contributed to operational intelligence and crime analytics as an Intelligence and Coordination Officer. Built dashboards and analytical products supporting frontline policing, resource allocation, and command-level decision-making across South Australia.

Automated flow cytometry data analysis using cloud and HPC, developed test infrastructure for improved reproducibility, and contributed to the open-source celseq2 workflow toolkit.

Designed a two-stage automated fact-checking system for climate change claims — TF-IDF evidence retrieval followed by Transformer-based classification (SUPPORTS / REFUTES / NOT ENOUGH INFO / DISPUTED), outperforming LSTM baselines.

Built and refined interactive digital educational content aimed at bridging the gap between education and professional success. Conducted market research on leveraging advanced technologies to improve course engagement and learner outcomes for students across Australia and beyond.

Research project exploring AI/ML techniques for autonomous database management — covering workload-driven optimisation and automatic index selection to reduce DBA overhead and improve query performance.

Harvested and analysed Twitter and Mastodon data alongside ABS SUDO spatial data to produce a Social Sense Dashboard illuminating Australian sentiment, social trends, and regional behavioural patterns.

Processed a large-scale Twitter dataset on the University of Melbourne's SPARTAN HPC cluster using MPI and Python, identifying tweet distribution across Australian cities and top contributors.

Built AutoRegressive time series models with rolling window forecasting to quantify how El Niño-Southern Oscillation patterns amplify commodity price volatility and food security-induced conflict risk.

Implemented AI agents for Cachex — a two-player connection game — covering heuristic A* search for the exploration phase and a competitive game agent using strategic anticipation and sabotage logic.

Built a Python automation script to streamline HPLC experiment result processing, and applied unsupervised clustering methods to uncover hidden patterns in complex medical research datasets.

Collaborative full-stack CRM system built as the COMP30022 IT Project — managing customer interactions and data with a responsive React frontend, Express REST API, and MongoDB backend.

Analysed 2014–2017 New York City Yellow Taxi data using Apache Spark for big data processing, applying linear modelling to predict trip costs and clustering to identify traffic hotspots.

Five major iterations of a personal website — currently rebuilt in v5 with a Nothing OS-inspired minimal design language. A living record of technical and professional development since 2020.