Chris Davey is a senior software developer based in Brisbane with 15 years of experience blending applied research and production engineering across AI-enabled wireless communications and enterprise integration. He holds a PhD focused on deep learning for trainable radios and has translated that research into production-ready Python/TensorFlow tooling, OTA training workflows, and HPC support for defence and academic partners. Chris has a long track record of quickly ramping into large codebases—recent contracts show rapid contributions in C#/.NET for networked AV systems and operations planning for federated learning infrastructure. Equally comfortable leading SDLC efforts with cross-vendor stakeholders as he is coding novel ML architectures, he bridges mathematics, statistics and pragmatic software delivery. Notably, he has helped transition research projects into sustainable university programs by training staff and preparing handover artefacts, preserving institutional collaboration.
15 years of coding experience
16 years of employment as a software developer
Grad Dip Math, Mathematics, GPA 6.0, Grad Dip Math, Mathematics, GPA 6.0 at USQ
Master of Information Technology, Information Technology, GPA 6.25, Master of Information Technology, Information Technology, GPA 6.25 at QUT
Doctor of Philosophy - PhD, Applied Deep Learning for Artificial Intelligence-enabled Wireless Communication., Doctor of Philosophy - PhD, Applied Deep Learning for Artificial Intelligence-enabled Wireless Communication. at University of Southern Queensland
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