Ash Hall is a Development Manager based in Melbourne with 10 years of hands-on experience building production ML and full-stack systems across sports tech, agriculture, and energy. He combines machine learning research (hyperspectral imaging, image-to-image translation, ensembled inference) with practical engineering—shipping desktop, web, edge, and iOS deployments and production cloud inference servers. At the Australian Institute of Sport and ANU he led R&D that turned experimental vision models into operational products, and now drives development and delivery at Green Energy Trading. Known for loving to build things, he pairs deep technical craft (OpenCV/C++, PyTorch, React/Flask) with team leadership and product-minded execution. An unusual knot in his profile is the combination of elite sports analytics and plant physiology ML, demonstrating an ability to adapt advanced research methods to diverse, real-world domains.
10 years of coding experience
8 years of employment as a software developer
Bachelor's degree - Honours, Computer Science, Bachelor's degree - Honours, Computer Science at La Trobe University
An unofficial Tensorflow implementation of the DSNT layer, as taken from the paper "Numerical Coordinate Regression with Convolutional Neural Networks".
Contributions:8 commits, 2 PRs, 18 pushes in 3 years 11 months
Contributions:16 pushes, 1 branch in 2 years 8 months
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Ash Hall - Development Manager at Green Energy Trading