All work

Machine Learning Engineer

ArborMeta

Sydney, NSW · 2025 – present

Geospatial ML engineering for climate and carbon applications.

Problem

Field surveys, remote sensing, and ecological data need to live in one place that teams and stakeholders can actually use.

Approach
  • Geospatial web apps in React, MapLibre GL JS, and PostGIS
  • Spatial pipelines that keep large survey and imagery archives usable at scale
  • Applied ML systems for climate and carbon measurement workflows
Outcome
  • Production geospatial systems in active use
  • Work shared with government stakeholders on carbon measurement and policy questions
  • Field and remote-sensing data readable in one live interface
Stack
FastAPIPostGISMapLibre GL JSPMTilesDockerReact