Jordan Cheney
Director Of Computer Vision at Rank One Computing
Falls Church, Virginia, United States
Summary
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Rockstar🎓
Top SchoolJordan Cheney is a Director of Computer Vision with 12 years of experience designing and delivering biometric and machine learning systems from research to production. Based in Falls Church, VA, he leads vision engineering at Rank One Computing after serving as Deputy Chief AI Officer at IDEMIA National Security Solutions and multiple research roles at Noblis. His hands-on background includes backend contributions to the open-source OpenBR biometrics project, where he optimized image-processing transforms and single-template comparisons to improve performance and usability. Jordan combines deep technical expertise in face recognition and detection with program leadership across government and industry contracts. He is equally comfortable refining core algorithms and guiding teams to operationalize them in high-assurance environments. His early analytical work—ranging from environmental data-driven databases to congressional briefing support—reflects a longstanding ability to translate complex technical signals into actionable outcomes.
12 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.), ENGINEERING, Bachelor of Science (B.S.), ENGINEERING at Swarthmore College
Github Skills (5)
computer-vision10
c-language10
cprogramming-language10
image-processing9
biometrics9
Programming languages (7)
Github contributions (5)
biometrics/openbr
Jul 2013 - Aug 2021
Open Source Biometrics, Face Recognition
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 reviews, 142 commits, 38 PRs in 8 years 2 months
Contributions summary:Jordan primarily contributed to the `openbr/plugins/misc.cpp` and `openbr/plugins/pp5.cpp` files, indicating they were working on image processing or biometric feature extraction functionalities. Their modifications involved updating and refining the `openTransform` method and allowing single template comparisons within PP5, which implies a focus on performance and usability. Moreover, refactoring and improvements to the detection and plotting code indicate a focus on the core functionality of the biometric processing system.
pythonface-recognitionrecognitioncomputer-visionbiometrics
Noblis/INVSC-janice
Dec 2015 - Jun 2019
An open API for computer vision algorithms
Contributions:176 commits, 21 PRs, 87 pushes in 3 years 6 months
apipythonvisioncomputer-visioncomputer-vision-algorithms
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