Brian Muse is a software engineer with a decade of experience who transitioned from electrical engineering into back-end and infrastructure-focused software development. Based in Dayton, Ohio, he’s shipped systems in C, C++, Java, and increasingly Python for web and data platforms, and has held engineering and managerial roles at Shopkick and Meta. He brings practical DevOps and cloud expertise—demonstrated by contributions to Facebook’s FBPCS project where he automated Docker builds and GitHub Actions workflows for private computation deployments. Comfortable across full-stack, embedded, and data-infrastructure contexts, he pairs hands-on coding with systems thinking and a history of improving build and deployment pipelines. Colleagues rely on him for reliable, production-ready solutions informed by his hardware background and international product-support experience.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BS) Physics, Bachelor of Science (BS) Physics at Thomas More University
Bachelor of Science (BS) Electrical Engineering, Bachelor of Science (BS) Electrical Engineering at Wright State University
FBPCS (Facebook Private Computation Solutions) leverages secure multi-party computation (MPC) to output aggregated data without making unencrypted, readable data available to the other party or any third parties. Facebook provides impression & opportunity data, and the advertiser provides conversion / outcome data.
Role in this project:
DevOps Engineer & Cloud Engineer
Contributions:106 commits, 98 PRs, 195 pushes in 11 months
Contributions summary:Brian primarily focused on improving the build and deployment processes for the Facebook Private Computation Solutions (FBPCS) project. They added support for building and deploying Docker images, specifically for GCP PCE deployments and EMP games/data processing, utilizing Ubuntu and pinning specific FBPCF and PID versions. They also automated the build process by implementing GitHub Actions workflows to publish images to the GitHub container registry. Furthermore, they updated the deployment scripts to accept docker environment variables and integrate with the OneDocker repository service, streamlining the binary upload process.
This is a gui that will allow for easy plot editing with matplotlib.
Contributions:2 PRs, 8 pushes, 2 branches in 4 years 9 months
pythonpyside6plotguipyqt5
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