Peter Carr is a Cloud Systems Engineer with 12 years of experience building and operating Linux-first infrastructure and cloud platforms, currently focused on cloud reliability at M3 USA. He combines hands-on systems engineering (Solaris/Linux, VMware, NAS/SAN) with operational leadership from prior roles managing NOC, network, and DBA teams to keep environments highly available. Peter has designed rapidly-deployed AWS development stacks and driven 99.9% uptime across multiple Dev/QA environments, blending automation and secure operations. An active contributor to C++ computer vision libraries, he’s fixed core logic and added camera calibration tests to the multi-platform vxl project—highlighting a low-level systems mindset uncommon among cloud engineers. Based in Pennsylvania, he pairs a BS in Computer Science with a pragmatic focus on learning new skills to solve real-world problems.
12 years of coding experience
12 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at York College of Pennsylvania
A multi-platform collection of C++ software libraries for Computer Vision and Image Understanding.
Role in this project:
Back-end Developer
Contributions:11 commits, 1 comment in 6 months
Contributions summary:Peter primarily contributed to the core logic and structure of the C++ libraries within the repository. They fixed issues related to data types, ensuring consistency between function return types and variable declarations, and addressed problems in constructors, ensuring correct behavior of vector and matrix objects. The user also worked on the templating and instantiation of code, specifically related to lens distortion models, and made modifications related to boolean operators within the code. Additionally, they implemented a unit test related to camera calibration and perspective camera decomposition.
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