James Meakin
Lead Research Software Engineer at Grand-Challenge.org
Randstad, Netherlands
Summary
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Senior🎓
Top SchoolJames Meakin is a Lead Research Software Engineer with a decade of experience building production-grade MLOps and medical imaging platforms from research prototypes to cloud deployments. Holding a DPhil in Medical Imaging from Oxford, he leads the Research Software Engineering team at Radboudumc and is technology lead for grand-challenge.org, an influential open-source platform for medical imaging challenges. He combines hands-on backend architecture and Python/Django engineering with team building, grant management, and DevOps-driven delivery across stakeholders in academia and industry. His teams operate a modern stack (TensorFlow/PyTorch, PostgreSQL, Docker, AWS ECS Fargate) and practice CI/CD to ship systems like the CIRRUS web workstation for radiology, pathology and ophthalmology. Equally comfortable in code and strategy, he still spends most of his time programming core backend systems while mentoring a diverse team. Outside work he channels the same endurance into running, cycling and mountain climbing.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (DPhil), Medical Imaging, Doctor of Philosophy (DPhil), Medical Imaging at University of OxfordMaster of Science (MSci), Physics, Master of Science (MSci), Physics at Imperial College London
English, Dutch
Stackoverflow
875reputation
32kreached
4answers
0questions
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top-5%
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Github Skills (152)
python10
simpleitk10
saml10
authentication10
e-mail10
medical-imaging10
django-allauth10
django-rest-auth10
django10
api10
rest10
task-scheduler10
ai10
computer-vision10
flarum10
Programming languages (11)
Github contributions (5)
DIAGNijmegen/rse-panimg
Aug 2018 - Nov 2022
Conversion of medical images to MHA and TIFF.
Contributions:33 releases, 79 reviews, 115 commits in 4 years 4 months
tiff
DIAGNijmegen/rse-grand-challenge
Apr 2017 - Jan 2023
A platform for end-to-end development of machine learning solutions in biomedical imaging
Contributions:25 releases, 3073 reviews, 3411 commits in 5 years 10 months
imagingmachine-learningpythondjangodjango-rest-framework
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