Capability · AI & intelligent systems
Applied machine learning from raw data to a working tool: models that score risk, classify messages or predict outcomes, with plain reports on what they do well and where they fail.
4 projects · 1 from prior work
LiveMAUK R&D · applied machine learning
Risk scores for ten conditions from 25 routine measurements, trained on 281,000 records and private enough to run on the patient's own device.
86.88%accuracy on patient records the model never saw
Machine learning
LiveMAUK R&D · applied machine learning
A spam classifier built from first principles that explains every verdict it gives.
83.8%accuracy on 920 emails the model never saw
Machine learning
MAUK R&D · applied machine learning
From a student dataset to a working predictor: two models compared honestly, and the one that won shipped.
0.617fit on students the model never saw (R²)
Machine learning
MAUK R&D · computer vision
A road-scene detection model trained from scratch on 70,000 images with a laptop GPU, and an honest account of where it struggles.
0.575detection accuracy (mAP50) on 10,000 unseen images
Machine learning
Delivered by our engineers in earlier roles. The client is confidential, and these are not presented as MAUK client projects.
Prior work · client confidential
Computer vision
The client's system is not shown
Prior work · national cricket body (confidential)
Computer vision that follows a small, fast ball across broadcast frames.
Machine learning
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