I build the systems behind smarter healthcare.
Medical imaging AI engineer and research software developer turning clinical problems into dependable products—from DICOM pipelines to deployed AI.
Clinical AI that works beyond the prototype.
01 / PERSPECTIVE
Not just models.
Whole systems.
I work across the full clinical technology stack: imaging data, AI inference, workflow software, interoperability, and the infrastructure underneath it.
That range lets me see where a promising model can fail in practice—and build the missing pieces that help it succeed in hospitals, laboratories, and resource-constrained settings.
02 / SELECTED WORK
Built for the real world.
A focused look at systems spanning hospitals, research labs, and medical AI deployment.
Project archive
03 / TOOLKIT
One engineer.
Four connected layers.
From pixel data to production uptime, I bridge specialties that are often treated separately.
04 / NORTH STAR
Better health technology should work where it is needed most.
My research and engineering focus is grounded in African healthcare realities: constrained hardware, limited connectivity, data sovereignty, and the need for robust local capacity.
Build locally. Integrate thoughtfully.
Measure what matters.
05 / CONTACT
Have a difficult health-tech problem?
I’m open to engineering roles, research collaborations, and conversations about medical imaging systems.
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