Marvin Smith

Principal Engineer at Sierra Nevada Corporation

Denver, Colorado, United States
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Summary

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Senior
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Marvin Smith is a Principal Engineer based in Denver with 14–15 years of deep expertise in computer vision, remote sensing, and high-performance computing, now leading systems and integration work for defense imaging platforms. He combines hands-on C++ and algorithm development with systems engineering leadership—requirements, test, and integration—to deliver capable systems to customers. Marvin has made notable open-source contributions to OpenCV by integrating GDAL support for geospatial raster imagery, bridging computer vision and geospatial data workflows. His background includes avionics maintenance and deployments with the Nevada Air National Guard, giving him practical systems-level insight uncommon among software engineers. He holds a BS in Computer Science and is pursuing an Executive MBA, reflecting both technical depth and growing strategic leadership.
code14 years of coding experience
job13 years of employment as a software developer
bookExecutive MBA, Executive MBA at University of Colorado Denver
bookBachelor of Computer Science, Bachelor of Computer Science at University of Nevada-Reno
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Github Skills (15)

gdal10
computer-vision10
opencv10
c-language10
cprogramming-language10
image-processing10
rgb9
mpi6
cmake6
socket6
linux6
ping6
python6
numpy6
geotiff6

Programming languages (1)

C++

Github contributions (5)

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opencv/opencv

Jul 2014 - May 2015

Open Source Computer Vision Library
Role in this project:
userBack-end Developer & Computer Vision Engineer
Contributions:7 commits, 2 PRs, 1 comment in 10 months
Contributions summary:Marvin contributed significantly to integrating GDAL (Geospatial Data Abstraction Library) support within the OpenCV library, enabling the loading of geospatial raster images. Their work involved adding a new GDAL-based image format reader and decoder (`grfmt_gdal.cpp`, `grfmt_gdal.hpp`). The user's commits addressed compiler warnings, updated tutorials, and resolved include errors related to GDAL integration, ensuring proper compilation and functionality on different operating systems. This work highlights their focus on extending OpenCV's capabilities in the domain of geospatial image processing.
pythonvisiondeep-learningc-plus-pluscomputer-vision
marvins/cli-cpp

May 2015 - May 2018

Contributions:118 commits, 179 pushes, 4 branches in 3 years
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