Brandon Victor is a PhD student and deep learning researcher based in Greater Melbourne with 11 years of experience blending practical software engineering and academic research. He builds applied computer vision and remote-sensing systems—most notably a swimmer-tracking system used by the Australian Swimming team—and now focuses on predicting plant growth from very high-resolution satellite imagery, with an emphasis on unsupervised methods for low-data settings. A lifelong learner and former university demonstrator, he pairs a strong mathematical curiosity about algorithmic tricks with clean, pragmatic code and a preference for well-designed interfaces. Comfortable shipping models into production (experience includes ESA collaboration and Telstra deployment work), he brings both teaching patience and a perfectionist’s drive for high-quality results.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Computer Science (Honours), Artificial Intelligence, >90%, Bachelor of Computer Science (Honours), Artificial Intelligence, >90% at La Trobe University
Contributions:3 pushes, 1 branch in 7 years 10 months
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Brandon Victor - PHD Student at La Trobe University