Niall Horn

Machine Learning Engineer

Great Ayton, England, United Kingdom
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Summary

👤
Senior
🎓
Top School
Niall Horn is a Machine Learning Engineer with eight years of hands-on experience building simulation and VFX systems for film and XR, combining deep CFD and graphics expertise with practical tooling in Houdini, Python and VEX. He has delivered production FX on major features and commercials at studios like ScanlineVFX, Framestore and ILM and later led R&D and an early-stage startup exploring ML-accelerated simulation for XR. His work spans custom solver development, OpenVDB extensions, lightweight fluid solvers and automation tooling, reflecting a rare blend of research-level high-performance graphics and production pragmatism. Based in Great Ayton, UK, he brings an MSc in High Performance Graphics and a history of shipping complex simulations under tight deadlines—plus an ongoing interest in VR/AR and VFX that drives his experiments at the intersection of ML and real-time content.
code8 years of coding experience
job1 year of employment as a software developer
bookMSc Computer Science : High Performance Graphics, MSc Computer Science : High Performance Graphics at University of Leeds
languagesEnglish
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Github Skills (9)

cloth-simulation9
verlet-integration8
cryptography5
class-library5
crypto5
unreal-engine-44
cpp3
pytorch3
distributed-training1

Programming languages (3)

C++ShaderLabPython

Github contributions (5)

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Cloth Simulation using Position Based Dynamics (PBD) with Verlet integration in Unreal Engine 4
Contributions:16 commits, 5 pushes, 1 branch in 20 days
cloth-simulationunreal-engine-4verlet-integrationverletpbd
Contributions:4 pushes, 1 branch in 5 months
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