David Raffelt

Director Of Engineering at Emesent

Queensland, Australia
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Summary

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Senior
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Top School
David Raffelt is a director-level engineering leader with 15+ years blending hands-on software engineering, research-grade neuroimaging tooling, and product-led platform delivery. Currently leading engineering at Emesent after architecting Fugro’s Geo-Data Factory, he specialises in building energised, small-team topologies that reduce cognitive load while shipping cloud-native data and SLAM/point-cloud systems. His background includes leading the MRtrix3 project’s quantitative brain-connectivity tools and contributing key backend improvements to a widely cited neuroimaging codebase, demonstrating deep expertise in scientific computing and robust file I/O/registration pipelines. David combines rigorous academic training (PhD in Computer Science) with practical delivery experience across machine learning integration, event-sourced workflows, and DevSec practices. He’s a believer in hypothesis-driven product management, clear interfaces, and thin platforms—preferences reflected in successful cross-disciplinary teams for geospatial sensing and analytics. Outside work he’s as likely to discuss team topologies or continuous discovery as he is Fermi’s paradox or why kitesurfing beats snowboarding.
code16 years of coding experience
job16 years of employment as a software developer
bookHonours Degree, Biology/Biological Sciences, General, First Class, Honours Degree, Biology/Biological Sciences, General, First Class at QUT (Queensland University of Technology)
bookDoctor of Philosophy (Ph.D.), Computer Science, Dean's Award, Doctor of Philosophy (Ph.D.), Computer Science, Dean's Award at The University of Queensland
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Github Skills (6)

c-language10
cprogramming-language10
image-registration10
image-processing10
data-structures6
data-structure6

Programming languages (4)

C++CSCSSPython

Github contributions (5)

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MRtrix3/mrtrix3

Jun 2010 - Jul 2018

MRtrix3 provides a set of tools to perform various advanced diffusion MRI analyses, including constrained spherical deconvolution (CSD), probabilistic tractography, track-density imaging, and apparent fibre density
Role in this project:
userBack-end Developer
Contributions:1073 commits, 47 PRs, 394 pushes in 8 years 2 months
Contributions summary:David primarily worked on improving the image registration commands by updating registration features to use new argument input output functions. Code changes include updating registration commands, altering the code base to apply new argument syntax, and improving file I/O. The user also worked on the multi-tissue constrained spherical deconvolution by modifying the data for the inverse registration.
deconvolutiondiffusion-mriimagingtractography
Contributions:33 commits, 5 PRs, 26 pushes in 6 months
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