Chris Martin
Software Developer at G-Research
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolChris Martin is a software developer based in London with nine years of professional experience building reliable backend systems at firms ranging from Morgan Stanley to G-Research. He brings a research-minded approach from a PhD in Materials Science (Oxford) and a Physics undergraduate (Durham), applying rigorous problem-solving to production engineering. At G-Research he focuses on scalable server-side development, and his open-source contributions include substantive refactors to the Armada multi-cluster batch queuing system for Kubernetes—adding validation, sensible defaults, and pod spec size limits to improve efficiency. Comfortable in finance and research-oriented environments, he merges domain discipline with pragmatic engineering to tame complex distributed workloads. Colleagues would describe him as a steady, detail-oriented developer who improves systems incrementally but meaningfully.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Materials Science, Doctor of Philosophy (Ph.D.), Materials Science at University of OxfordBachelor's Degree, Physics, Bachelor's Degree, Physics at Durham University
Github Skills (7)
go10
back-end-development10
kubernetes-pods9
kubernetes9
api8
testing8
apidoc8
Programming languages (6)
Github contributions (5)
armadaproject/armada
Nov 2021 - Jan 2023
A multi-cluster batch queuing system for high-throughput workloads on Kubernetes.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:65 releases, 1117 reviews, 262 commits in 1 year 2 months
Contributions summary:Chris's commits primarily involve refactoring and improving the server-side code of the Armada project. Specifically, the user moved create and validation functionality to the submit process. This included changes to the server, submit tests, and the addition of default values for container resources and pod tolerations. This also included the creation of a pod spec size limit to improve the efficiency of the program.
slurmbatchmulti-clusterqueuing-systemworkloads
d80tb7/spark
Mar 2019 - Feb 2021
Apache Spark
Contributions:3 PRs, 41 pushes, 8 branches in 1 year 10 months
emrspark-mlapachebig-dataspark
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