Perry Gibson is a Member of Technical Staff based in the UK with a decade of experience at the intersection of systems engineering and machine learning, specialising in across-stack optimisation of neural networks. He brings deep practical knowledge of compiler toolchains such as Apache TVM and MLIR, and a track record of moving research into production—ranging from HPC training and edge deployments to real-time object-detection products. His PhD work and postdoctoral research at the University of Glasgow focused on secure systems, including experiments with the Arm Morello/CHERI platform, reflecting a unique blend of security-aware systems thinking and ML optimisation. Perry has led technical projects in EU-funded industrial deployments, coached engineers in infrastructure and Docker, and consulted to launch multiple client-facing ML products. Currently at Fractile, he combines research rigour with hands-on engineering to shrink the gap between compiler-level optimisations and deployable ML solutions. An understated strength is his ability to translate complex low-level toolchain advances into practical, reproducible workflows for edge and HPC environments.
10 years of coding experience
1 year of employment as a software developer
MInf: Masters of Informatics, Informatics, MInf: Masters of Informatics, Informatics at The University of Edinburgh
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Glasgow
Contributions:95 pushes, 1 branch in 1 year 6 months
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Perry Gibson - Member Of Technical Staff at Fractile