Sam Hodge
Machine Learning Engineer
Adelaide, South Australia
Summary
👤
SeniorSam Hodge is a seasoned technical director and machine learning engineer who bridges feature film visual effects and production-ready ML systems, with over two decades of hands-on experience in shading, lighting, rendering and pipeline engineering. As a founder and senior research engineer, he designs end-to-end solutions—from client engagement to deployed tooling—applying Python, C++ and GPU training workflows to problems in VFX, digital humans and video mattes. He built and maintained an Arnold+Houdini rendering and shading pipeline used on Hollywood features and now focuses on human-in-the-loop ML automation for media through ventures like Kognat and Tokgan. Sam’s background in character rigging, deformation and procedural asset encapsulation gives him a rare combination of artistic eye and low-level systems know-how, and he often converts cinematic problems into robust engineering solutions. Based in Adelaide, he pairs academic rigor from a BSc(Hons) in biochemistry and computer science studies with practical delivery across research and production environments.
10 years of coding experience
Github Skills (185)
python10
deep-learning10
instance-segmentation10
gpu10
gpu-acceleration10
ml10
numpy10
mask-rcnn10
neural-network10
scene10
object-detection10
tensor10
deeplab10
3d-reconstruction10
volume-rendering10
Programming languages (15)
Github contributions (5)
samhodge/catpicnic
Dec 2016 - Sep 2019
Contributions:1 release, 30 commits, 1 PR in 2 years 9 months
autonomouscyclessteeringwalk
samhodge/pytorch
Jan 2021 - Jan 2021
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:2 PRs, 1 push in 1 day
pythongpu-accelerationdeep-learninggpuacceleration
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