AI/ML Expert with a PhD in Robotics and Imitation Learning, specialising in computer vision, deep learning, and industrial inspection. I publish in international journals and conferences, and help businesses turn AI concepts into production ready solutions.
I lead AI/ML development on an Innovate UK funded project applying AI to quality inspection in composite manufacturing.
Featured projects:
- Automated 3D Defect Detection System for aerospace CFRP components: 95% accuracy at 15 FPS, outperforming YOLOv8 and YOLOv10.
- Built and validated a 25,000 sample annotated defect dataset.
- Deployed CNN inspection models to edge environments using PyTorch, TensorFlow, and OpenCV.
- PhD: self learning robotic platform via imitation learning. Best PhD Thesis, RTIPPR 2024.
- AnyLogic simulation models for AI adoption business cases.
Services:
- AI strategy and feasibility reviews.
- Computer vision and defect detection (2D, 3D, point cloud).
- ML pipeline design, model selection, and benchmarking.
- Robotics and automation consultancy.
- Technical audits of existing AI projects.
- Deployment, reproducibility, and MLOps guidance.