Scott Klum
Co-founder And Chief Engineer at Rank One Computing
Denver, Colorado, United States
Summary
🤩
Rockstar🎓
Top SchoolScott Klum is a co-founder and Chief Engineer with 13 years of experience building production-grade biometrics and computer vision systems from research to startup. Based in Denver, he leads Rank One Computing and brings deep hands-on expertise in image processing, ML model integration, and core algorithm development. His prior roles include principal biometric R&D at Noblis and research projects at Michigan State and Yale, where his FaceSketchID system was commercialized by a major biometrics company. An active open-source contributor, he made substantial backend and ML contributions to the widely used OpenBR face-recognition framework. Scott combines academic rigor (MS/MS and BS in Computer Science from Michigan State) with entrepreneurial execution, continually bridging novel research and deployable engineering. Notably, his work spans both forensic-focused matching systems and low-level framework changes that improve usability for other developers.
13 years of coding experience
4 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Michigan State University
English
Stackoverflow
536reputation
50kreached
3answers
6questions
Github Skills (14)
computer-vision10
machine-learning10
opencv10
c-language10
cprogramming-language10
image-processing10
eigen9
cpack6
cmake6
antialiasing6
macos6
qt6
bundle6
cocoa6
Programming languages (9)
Github contributions (5)
biometrics/openbr
Jan 2013 - Jun 2018
Open Source Biometrics, Face Recognition
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:2 reviews, 941 commits, 66 PRs in 5 years 5 months
Contributions summary:Scott's commits primarily involve modifications to the core of the OpenBR framework, particularly in areas related to image processing, computer vision, and machine learning model integration. The user contributed to the development of core algorithms, implemented features related to facial analysis and detection and incorporated and adapted several machine learning models. A significant amount of changes were made to the framework to support the new components, and improve overall usability.
biometricsface-recognition
sklum/sklum.github.io
Jun 2019 - Jan 2020
Contributions:15 pushes, 1 branch in 7 months
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