Bart Holmberg

Senior CV CG Software Development Engineer at SuraNovi

Bellevue, Washington, United States
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Summary

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Senior
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Top School
Bart Holmberg is a senior software engineer with 10+ years of experience specializing in computer vision, machine learning and signal processing, combining deep DSP roots with modern C++ and Python development. He has driven production-grade systems across industries—from high-resolution automotive radar and embedded hearing-aid firmware to real-time CV on Myriad X and GPU path tracing—bringing both algorithmic depth and pragmatic low-power, robust implementations. At SuraNovi he built dense point-cloud reconstruction and µSLAM demos integrating C++/pybind11 and TensorFlow, and previously cut GPU path-tracing times by orders of magnitude through accelerator-structure innovations. Comfortable leading cross-functional teams and supplier integrations, he pairs DO-178B and avionics-grade rigor with rapid prototyping for startups and large defense and telecom firms. Unusually, his background spans medical ultrasound to LTE-A PHY and modern SLAM, giving him a rare ability to translate advanced signal-processing concepts into deployable ML/CV products.
code10 years of coding experience
job33 years of employment as a software developer
bookPh.D. work DSP, Ph.D. work DSP at University of Southern California
bookSignal Processing, Signal Processing at University of Washington
bookBS EE, BS EE at Washington State University
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Stackoverflow

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1reputation
0reached
3answers
0questions
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Github Skills (52)

mesh-processing10
visualization10
rendering10
odometry10
driver10
computer-graphics10
windows-driver10
pytorch9
python9
machine-learning9
windows9
open3d9
wdk9
opengl9
3d9

Programming languages (6)

TypeScriptDockerfileC++CSCSSPython

Github contributions (5)

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bartholmberg/phaser

Jul 2022 - Nov 2022

A robust pointcloud registration pipeline based on correlation.
Contributions:180 pushes, 3 branches, 8 tags in 3 months
point-cloud
bartholmberg/open_model_zoo

May 2020 - Oct 2022

Pre-trained Deep Learning models and samples (high quality and extremely fast)
Contributions:18 pushes, 3 branches in 2 years 5 months
deep-learning
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