Mohamed Ayoub
Research Scientist at M.Phil, University of Nottingham
United Kingdom
Summary
👤
Senior🎓
Top SchoolMohamed Ayoub is an AI research scientist and experienced data practitioner with eight years building machine learning systems, data engineering pipelines, and teaching AI and programming at university level. He has led curriculum updates for Data Engineering and Edge AI, contributed to biodiversity segmentation research, and implemented scalable rule-mining and Spark integrations in industry settings. Comfortable across academia and enterprise, he’s worked on cloud data solutions, model evaluation for churn prevention, and even cellular 3D visualization at KAUST. A natural Pythonista with a strong math background, he mentors projects in astronomy and women-in-tech initiatives and enjoys applying research rigor to practical problems. Based in the UK and currently pursuing a PhD, he pairs disciplined work ethic—honed through judo—with a curiosity for new technologies, outdoor adventures, and occasional baking. Notably, his background spans both hands-on DevOps tooling and classroom leadership, making him effective at translating research into teachable, deployable systems.
8 years of coding experience
5 years of employment as a software developer
Master of Philosophy - MPhil, Computer Science, Master of Philosophy - MPhil, Computer Science at University of NottinghamDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of ReadingBachelor of Engineering - BE, Computer Science, Graduated with a First Class, Bachelor of Engineering - BE, Computer Science, Graduated with a First Class at University of Westminster
English, Sinhalese, Tamil
Github Skills (23)
solar10
sun10
astronomy9
python9
astropy8
face-recognition8
wwdc8
image-synthesis8
ios7
swiftui7
swift7
science6
swift-playgrounds6
core-library6
gdc5
Programming languages (3)
Github contributions (5)
Ayoob7/facenet-face-recognition
May 2020 - Oct 2020
This is the research product of the thesis manifold Learning of Latent Space Vectors in GAN for Image Synthesis. This has an application to the research, name a facial recognition system. The application was developed by consulting the FaceNet model.
Contributions:1 release, 20 commits, 2 PRs in 5 months
facenetfacial-recognitionimage-synthesisganfacenet-model
Ayoob7/Regression-Template
Aug 2018 - Dec 2020
Contributions:8 commits, 7 pushes, 1 branch in 2 years 4 months
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