Rory Coughlan is a machine learning engineer based in Sydney with eight years of experience focused on 3D data and reinforcement learning in simulated environments. Currently a Machine Learning Intern at Neara, he works with labelled 3D point clouds to train models for spatial understanding. As a self-employed AI Engineer he develops deep reinforcement learning agents and showcases projects on GitHub and YouTube under Gumbo64, blending research-level experimentation with public-facing demos. He holds a Bachelor's in Computer Science from UNSW and attended NCSS, reflecting a strong formal grounding paired with continuous self-driven learning. Rory’s work sits at the intersection of 3D formats and control-oriented ML, making him adept at turning complex spatial data into actionable models. Colleagues appreciate that he combines hands-on model training with an enthusiasm for sharing reproducible projects and visual results.
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