Robin Cole
Senior Machine Learning Research Engineer at EarthDaily Analytics
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolRobin Cole is a Senior Machine Learning Research Engineer based in London with 11 years of experience applying deep learning to satellite and aerial imagery. He combines a strong academic foundation (PhD in Physics from Cambridge and an MSc in Optics & Photonics) with production ML engineering, shipping models and deployments on AWS across startups and industry teams. As maintainer of the popular satellite-image-deep-learning repository and newsletter, he focuses on transfer learning workflows, model deployment via REST APIs, and practical preprocessing techniques for remote sensing. His background spans optical systems, quantum optomechanics, and medical physics, giving him rare domain expertise in imaging physics as well as software. He has spoken on industry podcasts and consistently bridges research prototypes to operational systems at companies like EarthDaily Analytics and Satellite Vu. Colleagues rely on him for pragmatic, reproducible solutions that turn complex satellite data into actionable products.
11 years of coding experience
12 years of employment as a software developer
PhD Physics, PhD Physics at University of CambridgeMSc Optics & photonics, MSc Optics & photonics at Imperial College LondonBSc Physics, BSc Physics at University of Southampton
Github Skills (14)
keras10
machine-learning10
computer-vision10
convolutional-neural-networks10
transfer-learning10
tensorflow10
python10
image-classification9
image-preprocessing9
vggnet9
deep-learning8
sens8
rest-api8
mobilenet8
Programming languages (16)
Github contributions (5)
satellite-image-deep-learning/techniques
Apr 2018 - Jan 2023
Techniques for deep learning with satellite & aerial imagery
Role in this project:
ML Engineer
ML EngineerContributions:20 releases, 2 reviews, 1054 commits in 4 years 10 months
Contributions summary:Robin's contributions center on applying deep learning techniques to satellite imagery. They add and modify notebooks related to transfer learning using Keras and VGG16, and integrating MobileNet. Their work includes preprocessing images, defining the structure of transfer learning and using a REST API to deploy models. This suggests a focus on model development and deployment within the remote sensing domain.
satellite-imagerypythonremote-sensingimage-classificationtensorflow
robmarkcole/hassio-addons
Aug 2019 - Jun 2022
Addons for Home Assistant
Contributions:4 releases, 30 commits, 6 PRs in 2 years 11 months
addonsassistanthacshome-assistanthassio-addons
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