Software Engineer

What I worked on

Summer research role at UQ's Gas & Energy Transition Centre — three parallel streams of work over the summer.

Energy-project trend analysis

• Developed a software tool to track and analyse energy-project trends using AEMO (Australian Energy Market Operator) data
• Improved internal visibility into Australia's energy transition dynamics
• Designed a machine-learning approach for energy-transition model calibration that reduced estimation errors by ~15% versus traditional methods

Methane LiDAR inversion

• Led deep-learning analysis of methane LiDAR inversion algorithms
• Streamlined the data-processing pipeline and documented optimisation opportunities to improve emission-detection accuracy
• The work fed directly into the centre's research output on fugitive methane emissions

Meteorological methodology

• Developed statistical methodologies to analyse multi-resolution meteorological datasets
• Used the results for boundary-layer stability assessment, which improves fugitive methane emission-rate estimates

Why I came back

This summer role was what convinced me to take the longer Data Analyst engagement in early 2025 — the team's work on emission measurement was genuinely useful, and there were still good problems to solve.