Martin Yeo
AVD Software Developer at Met Office
Exeter, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolMartin Yeo is an AVD software developer based in Exeter with ~9 years of software experience and seven years in professional engineering roles, blending geoscience open-source work with strong data and BI foundations. At the Met Office he coordinates a 10-person team on the widely used SciTools/iris project (≈7,000 monthly downloads), drove continuous performance benchmarking, and delivered industry-leading support for unstructured mesh data. Previously he built robust data warehouses, automated reporting and analytics across large datasets using the Microsoft BI stack, SQL and scripting, turning complex business needs into reliable solutions. He prioritises user engagement—running surgeries, presentations and knowledge-sharing—to maximise software value and adoption. Curious by training (BSc Hons in Evolutionary Biology) and detail-oriented, he frequently improves existing architecture by applying modern tools and disciplined dependency management.
7 years of coding experience
2 years of employment as a software developer
Hounsdown Secondary SchoolBSc (Hons), Evolutionary Biology, 1st Class, BSc (Hons), Evolutionary Biology, 1st Class at University of ExeterBrockenhurst College
Stackoverflow
21reputation
396reached
1answer
0questions
Github Skills (14)
file-handling10
file-processing10
netcdf10
file-access10
python10
fileio10
data-analysis10
scientific-computing9
testing9
data-structures8
data-structure8
coordinate-systems8
visualization7
visualizations7
Programming languages (9)
Github contributions (5)
SciTools/iris
Sep 2019 - Jan 2023
A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 releases, 1576 reviews, 115 commits in 3 years 4 months
Contributions summary:Martin contributed to the Iris project by implementing climatological bounds support for NetCDF save and load operations. They also corrected handling of NetCDF VerticalPerspective and Geostationary coordinate systems, improving the library's support for CF conventions. Further contributions involved implementing new features, such as those detailed in the "What's New" document and fixing bugs related to coordinate handling, data structures, and plot rendering, demonstrating a focus on improving core functionality and file format support.
pythonvisualisationagnosticgribatmosphere
trexfeathers/geovista
Mar 2022 - Feb 2025
Cartographic rendering and mesh analytics powered by PyVista
Contributions:38 pushes, 15 branches in 2 years 11 months
meshanalyticspythonrenderingpyvista
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