AI & MedTech Development

I design and advise on platforms that rely on cross-sectional expertise in surgical planning, imaging pipelines and Machine Learning logic and structured Data architecture — keeping surgeon-in-the-loop control.

XXXX.XX – Stealth Mode AI Modelling Sandbox

  • Modular research-grade environment for deformity analysis and surgical planning
  • Automated segmentation, landmarking and mechanical-axis computation from DICOM data
  • 3D visualisation and editable osteotomy simulation with clinician oversight
  • Designed as a training and experimentation space that can inform future regulated products
Founder Manifesto

Granite XS – Data Architecture & Communication Pipeline

  • Co-founded platform providing a GDPR-compliant clinical communication and EPR layer
  • Architecture focus | secure-by-design workflow, ISO27001 hosting and CyberEssentials alignment
  • Structured, auditable data model suitable for AI-ready analytics and supra-local deployments
  • Clinical workflow → technical architecture translation

Concept Pipelines & Future Directions

Beyond active platforms, I have developed and iterated concepts that remain highly relevant for partners:

  • Limb reconstruction companion-app concept for remote monitoring, adherence and early complication detection
  • Limb reconstruction registry/database designs intended for supra-local outcome tracking
  • Blockchain-based instant-approval and payment architecture for insurance-driven health systems

These projects reflect a consistent focus - using data and design to make surgical care more transparent, measurable and safe.

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