Rhys Poulton is a Senior Scientific Software Engineer with nine years of experience building scalable, low-latency data systems and scientific pipelines in Python, C/C++ and cloud-native environments. He has led development of Kafka-based distribution systems and Kubernetes alerting infrastructures for multi-messenger astronomy, and now applies that expertise to standardizing and optimizing weather model outputs at the Met Office. Comfortable across CI/CD, containerization, Rucio data management and FPGA acceleration, he combines academic rigor from a PhD in Astrophysics with practical engineering to deliver robust, high-performance production code. Known for thoughtful code reviews and cross-discipline collaboration with scientists, Rhys translates domain requirements into testable, maintainable software while driving measurable performance gains. An unexpected strength is his history of maintaining the IGWN Conda distribution and curating conda-forge recipes, showing a knack for reproducible environments that scale across global research infrastructures.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Astronomy and Astrophysics, Doctor of Philosophy - PhD, Astronomy and Astrophysics at The University of Western Australia
Martins wood primary school
Data Science, Data Science at University of Michigan
Intergrated Master of Physics, Physics, Higher distinction, Intergrated Master of Physics, Physics, Higher distinction at University of Sussex
Contributions:2 PRs, 54 pushes, 25 branches in 4 years
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