Chifen Sama Nduma — Software Architect & Health-Tech Innovator
The Nurse Who Codes. Self-trained software engineer, registered nurse, and health-tech innovator. Autodidactic engineering focused on open-source technologies, workflow automations, and resilient offline-first platforms.
Executive Blueprint
The Nurse Who Codes. A 100% self-trained software engineer, registered nurse (BSc Nursing), and M.Tech Data Science candidate at COLTECH (The University of Bamenda), specialized in open-source systems and workflow automations.
About Chifen →Open-source automations, event-driven webhooks, WhatsApp triage bots (LifeDrop), offline-first conservation platforms (CoastClear), DHIS2 facility sync pipelines, and clinical risk models.
Inspect all work →5,000+ lives reached & impacted, 8,500+ accumulated reach across built tech, deployed across 4 countries, 400+ registered donors, 310 hospital transfusions, 387-respondent clinical AI study (92.4% rate), and >95% DHIS2 completeness.
Explore photo evidence →Personal experience: waiting 18 hours to find blood donors for his mother’s surgery in 2022, and experiencing firsthand what breaks in low-resource wards during midnight power cuts.
Read the backstory →Open for health-tech partnerships, clinical AI research collaborations, speaking invitations, consulting on offline-first architectures, and digital health software engineering.
Selected work
Founder and CEO
A blood donor network that lives inside WhatsApp, because that is where families already ask for help.
Health tech volunteer, Vision in Action Cameroon
Two WhatsApp health bots for a Cameroonian NGO, reaching 240 people in four months with no promotion budget.
Principal investigator
A 387-respondent study of what health workers actually know and feel about AI in clinical decisions, and what is really blocking it.
Developer
A trilingual platform for coordinating beach waste cleanups, with AI photo analysis and separate dashboards for reporters, cleanup crews, and NGOs.
Every figure is grounded in operational logs, hospital registries, or IRB-approved study data.
What I build with
Let me introduce myself
Let me introduce myself
To build technologies that make quality healthcare more accessible, intelligent, and equitable across Africa.
The future of healthcare sits where medicine, technology, and human-centred design meet. I am less interested in tools that work in a well-funded demo than in ones that survive a real ward on a bad day.
That means building for the constraints people actually have. Low data. Unreliable power. A phone rather than a computer. A language a government form does not offer. Solutions that empower health workers and hold up in underserved communities, or they do not count.
Where I have worked
What I offer
What I bring
Apps and services for clinics, donors, and health workers, designed for low data and unreliable power.
Bilingual bots and health services on the channel people in Cameroon already use every day.
Risk models, dashboards, and analysis built on real clinical data rather than tidy demo sets.
Study design, survey work, and writing up findings so they hold up to scrutiny.
How it goes
We start with the actual problem and the constraints around it. Who uses this, on what phone, with what connection.
I build the smallest thing that proves the idea, then put it in front of real users and fix what breaks.
You get the code, the documentation, and someone who stays reachable after launch.
Tell me about the problem and who it affects. I read every message.
Start a conversationLatest writing
26 September 2026
When a hospital in Cameroon runs out of blood, the search falls on the family. Here is the clinical triage logic, ABO compatibility matrix, and automated WhatsApp dispatch engine behind LifeDrop.
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Frequently asked
Let's work together
Reach out to me
Working on something in health, data, or WhatsApp automation? Tell me what the problem is and who it affects, and I will get back to you.