Richard Hattersley - Lead Technical Architect at Met Office

Richard Hattersley

Lead Technical Architect at Met Office

Teignbridge, England, United Kingdom

Join Prog.AI to see contacts

Summary

🤩

Rockstar

🎓

Top School

Richard Hattersley is a Lead Technical Architect with 14 years of professional experience building cloud-native, operational systems that prioritise social impact over finance. He has driven the Met Office's cloud and Python transformations—leading the first operational AWS services and championing open-source scientific libraries like Iris and Cartopy used across the Earth-science community. Equally comfortable defining strategy and writing core backend code, he pairs technical leadership with hands-on contributions to geospatial and scientific Python tooling (including WMTS support and curvilinear interpolation enhancements). Currently focused on integrating machine learning into operational workflows, he’s known for making complex platforms accessible to non-experts via automated, secure container services. Colleagues value him for rapidly acquiring new skills and for pragmatic, standards-aware engineering that scales from research prototypes to production.

14 years of coding experience

27 years of employment as a software developer

Applied maths with computing (BSc), 2.1, Applied maths with computing (BSc), 2.1 at University of Warwick

English

Github Skills (34)

benchmark10

projection10

ogc10

python10

matplotlib10

cartopy10

benchmarking10

interpolation10

numpy10

mts10

maps10

data-analysis10

testing9

data-structure9

scipy9

Programming languages (12)

DockerfileRShellCSSC++CGoHTML

Github contributions (5)

SciTools/iris

Aug 2012 - Jul 2019

A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data

Role in this project:

Back-end Developer & Data Scientist

Contributions:2 releases, 747 commits, 152 PRs in 7 years

Contributions summary:Richard contributed to core functionality improvements in the library, including new features, bug fixes, and performance enhancements. Their work involved the implementation of interpolation techniques, particularly for curvilinear and rotated grid projections, and included support for handling data with masked values. The commits demonstrate a focus on extending the library's capabilities for handling scientific data, which is evident from the domain context of the repository.

pythonvisualisationagnosticgribatmosphere

SciTools/cartopy

Sep 2012 - Dec 2018

Cartopy - a cartographic python library with matplotlib support

Role in this project:

Backend Developer & Test Automation Engineer

Contributions:2 releases, 133 commits, 15 PRs in 6 years 3 months

Contributions summary:Richard's commits primarily revolve around adding and modifying code related to copyright and licensing headers, ensuring their presence and correctness across the project. They also added rudimentary support for the Interrupted Goode Homolosine and initial support for polygon holes. Further contributions included allowing source data to wrap and extending functionality to handle contour, pcolor, and scatter plots. These changes indicate work on core mapping functionality and maintaining the project's code quality.

python-librarycartopypythongeographyspatial

Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.

Request Free Trial