Rory Byrne
Founder at Stealth
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolRory Byrne is a founder and software engineer with 10 years of experience building data infrastructure, ML tooling, and research-driven products across startups and academia. Currently leading a bioML data infrastructure startup while pursuing computational neuroscience research at the University of Cambridge, he blends hands-on engineering with domain expertise in neurotechnology. Rory has a track record of shipping backend and DevOps improvements for popular ML tooling—contributing configuration and testing enhancements to Replicate’s Cog—and previously held senior engineering and co-founder roles at Inferex, Sym, Swan, and Metro Platform. He’s comfortable moving between research code and production systems, having built and deployed scalable web APIs and containerized workflows in both research and commercial settings. A Cambridge-educated neuroscientist with roots in computer science from Dublin City University, Rory pairs entrepreneurial drive with rigorous experimental thinking.
10 years of coding experience
6 years of employment as a software developer
Master of Research (MRes) Neurotechnology, Master of Research (MRes) Neurotechnology at Imperial College LondonComputer Applications Computer Science, Computer Applications Computer Science at Dublin City University
English, Irish, French
Stackoverflow
923reputation
85kreached
2answers
34questions
Github Skills (19)
configuration-manager10
container10
docker10
configuration-management10
dockers10
go10
cicd9
devops9
testing8
amazon-ec26
amazon-emr6
amazon-s36
amazon-kinesis6
aggregate-functions6
machine-learning6
Programming languages (21)
Github contributions (5)
replicate/cog
Jun 2021 - Jun 2021
Containers for machine learning
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:5 reviews, 13 commits, 1 PR in 3 days
Contributions summary:Rory primarily focused on enhancing the configuration and build processes of the Cog system, a framework for machine learning containers. Their contributions include refactoring config loading, allowing Cog to run from subdirectories and introducing a maximum search depth for project directories. The user also addressed linting errors, improved networking for Redis connections in end-to-end tests, and implemented an end-to-end test to verify configuration loading. These changes collectively improved usability and deployment workflows.
containerscudapytorchdeep-learningdocker
rorybyrne/website
Mar 2021 - Feb 2025
Contributions:7 pushes, 1 branch, 1 issue in 3 years 11 months
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