Christopher Bailey
Lead AI Engineer at Norlys
Aarhus, Central Denmark Region, Denmark
Summary
👤
Senior🎓
Top SchoolChristopher Bailey is a Lead AI Engineer based in Aarhus with 12 years of experience turning research-grade analytics and neuroimaging expertise into production-ready AI products. He builds end-to-end LLM-powered solutions and MLOps on Azure, shipping infrastructure and CI/CD via GitHub Actions while aligning technical trade-offs with business stakeholders. His background in neuroscience and hands-on work with MEG/EEG gives him uncommon depth in high-dimensional data processing, reflected in open-source contributions to MNE-Python and PsychoPy. Comfortable across the stack, he moves rapidly from prototype to scalable deployment and focuses on measurable value creation from generative models. He is as engaged by product strategy and stakeholder collaboration as he is by refining models and pipelines for robustness in production.
12 years of coding experience
18 years of employment as a software developer
Doctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at Aarhus UniversityMaster of Science (Technology), Engineering Physics and Mathematics, Master of Science (Technology), Engineering Physics and Mathematics at Teknillinen korkeakoulu-Tekniska högskolan
Finnish, English, Danish
Github Skills (18)
ec10
python10
experimental-design10
el10
n10
neuroscience10
controls10
ceph10
megaparsec10
psychopy10
visualization9
visualizations9
data-analysis9
pytest8
machine-learning8
Programming languages (7)
Github contributions (5)
mne-tools/mne-python
Jun 2015 - Jan 2021
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:39 commits, 19 PRs, 167 comments in 5 years 8 months
Contributions summary:Christopher primarily contributed to the MNE-Python library by addressing issues related to data loading, preprocessing, and error handling, specifically concerning EEG and MEG data. Their commits focused on integrating and supporting data from Internal Active Shielding (IAS) files, enhancing error messages, and improving channel handling during forward solution and inverse operator calculations. The contributions also included code cleanup, testing improvements, and additions related to dipole simulation and visualization.
visualizationneuroimagingneurosciencepythonstatistics
psychopy/psychopy
Dec 2016 - Jan 2017
For running psychology and neuroscience experiments
Role in this project:Software Developer (Focus on visual/scientific software)
Software Developer (Focus on visual/scientific software)Contributions:10 commits, 2 PRs, 10 comments in 17 days
Contributions summary:Christopher primarily contributed to the `psychopy` repository by modifying and refining the `Window` class, a core component for displaying visual stimuli. Their work involved refactoring the handling of `viewPos`, which controls the origin within the window, by moving normalization logic to setters and hiding the intermediate normalized values. They fixed associated tests. The user also made some pep8 cleanup changes.
neurosciencepythonexperiment-controlcognitive-scienceopenscience
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