AI Research Engineer
Michael Paul BradshawMSc
I design and build AI-driven and full-stack applications — most recently completing an MSc in Artificial Intelligence. My research project evaluates the advancements ViT architectures can provide over the best current CNN's used widely in AI archaeological anomaly detection. Turning the experimental methodology into an End-To-End automated pipeline in Python. I am currently working on transforming the learning from this project into a commercial C#/.NET product. Take a look at what I've been working on.
Fig. 01 — self-attention across patch embeddings
Featured work
Terra-AID
MSc research project and desktop application investigating whether Vision Transformers improve unsupervised, reconstruction-based detection of buried archaeological features in Sentinel-2 satellite imagery.
MEyeTunes
An iOS app that turns a date of birth into a playlist of the UK #1 single on your birthday and every big life milestone since — 13th, 16th, 18th, 21st, and on.