Karl Marrett
Member Of Technical Staff at Reka AI
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolKarl Marrett is a Member of Technical Staff specializing in optimizing ML backends for learning, search, and generation, with 11 years of experience building high-throughput, data-intensive systems across startups and academia. He tunes GPU kernels, systems, and infra to accelerate researcher iteration, applying HPC/CUDA to projects that contributed to Nature Neuroscience–cited advances in spatial AI. At UCLA he scaled brain-focused models dramatically (67x scale, 509x memory reduction) and designed a CPU+GPU‑optimized 3D vision pipeline (Gossamer) that earned recognition for performance and engineering. His work blends deep systems engineering with practical research support—freeing labs and developers to move faster in production-like settings. Based in Seattle, he brings a rare combination of academic rigor (PhD-level research) and production-first engineering that consistently turns challenging ML workloads into tractable, deployable systems.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.Sc.), Computational Neuroscience, Applied Math, Bachelor of Science (B.Sc.), Computational Neuroscience, Applied Math at University of WashingtonUniversity of California, Los AngelesNSF I-Corps
French
Stackoverflow
43reputation
34kreached
1answer
1question
Github Skills (33)
sparse10
volume-rendering10
data-structure10
openvdb10
openframeworks10
voxel10
toolbox9
image-reconstruction9
neuroscience9
inverse-problems9
mri9
medical9
medical-imaging9
computed-tomography8
image-processing8
Programming languages (7)
Github contributions (5)
kdmarrett/dotfiles
May 2015 - Aug 2020
Contributions:61 pushes, 1 branch in 5 years 3 months
UCLA-VAST/openvdb
May 2021 - Sep 2023
OpenVDB - Sparse volume data structure and tools
Contributions:20 pushes, 4 branches in 2 years 3 months
sparsedata-structurevolumeopenvdb
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