Mark Makombe — Software Engineer and AI-native Builder

One career.
Four layers of impact.

More than a decade designing and operationalising digital systems across government, international NGOs and national public-health programmes—combining software engineering, information architecture, cybersecurity and delivery leadership.

23+PROJECTS DELIVERED
10+YEARS BUILDING
7LIVE PRODUCTS
4DELIVERY DOMAINS
A healthcare worker using a tablet with a pregnant patient during an antenatal consultation.
ZIMBABWE / DIGITAL HEALTH
03 / SELECTED SYSTEMSFOUR CASE STUDIESSCROLL TO MOVE THROUGH THE EXHIBITION
01 / 04CLINICAL WORKFLOW
ENGINEERING OBJECTIVETURN GUIDANCE INTO THE NEXT RIGHT ACTION.

Care begins at the interaction.

Across WHO Digital Adaptation Kit work and Zimbabwe's national electronic partogram, I translate clinical guidance into usable, auditable workflows.

WHAT IT ISClinical decision-support workflows

PROBLEM
Clinical guidance has to become a clear next action without losing safety, traceability or programme intent.
MY ROLE
Workflow architecture
ENGINEERING
Modelled decision paths, validation states and auditable clinical interactions.
RESULT
WHO DAK work + Zimbabwe electronic partogram
STACK
Clinical workflows · Interoperability · Data modelling
A healthcare worker using a tablet for patient data capture in a clinic.
ZIMBABWE / DIGITAL HEALTH
02 / 04OFFLINE-FIRST DELIVERY
ENGINEERING OBJECTIVEKEEP THE SYSTEM USEFUL WHEN CONNECTIVITY FAILS.

Resilience is a clinical feature.

I design offline-aware capture and synchronization for facilities where the network cannot be treated as a constant.

WHAT IT ISOffline-capable clinical data systems

PROBLEM
Facilities still need dependable capture and continuity when connectivity is slow, intermittent or absent.
MY ROLE
Offline-first systems
ENGINEERING
Designed sync-aware workflows, resilient states and recovery around real facility conditions.
RESULT
Real-time and offline COVID-19 capture across 7 facilities
STACK
Offline data · Synchronisation · Facility workflows
A public-health team reviewing a health dashboard on a large screen.
ZIMBABWE / DIGITAL HEALTH
03 / 04PROGRAMME INTELLIGENCE
ENGINEERING OBJECTIVEMOVE DATA FROM REPORTING INTO DECISION.

A dashboard matters when someone acts.

For malaria surveillance, I connected facility reporting, validation and analysis so programme teams could see earlier, clearer signals.

WHAT IT ISPublic-health surveillance and intelligence

PROBLEM
Reporting only creates value when programme teams can trust the signal and act on it quickly.
MY ROLE
DHIS2 + data pipelines
ENGINEERING
Connected capture, validation, transformation and decision dashboards into one reporting flow.
RESULT
Malaria surveillance connected across 10 facilities
STACK
DHIS2 · Power BI · ETL pipelines
A clinician reviewing an electronic health record with a patient.
ZIMBABWE / DIGITAL HEALTH
04 / 04NATIONAL INFRASTRUCTURE
ENGINEERING OBJECTIVEPROTECT CONTINUITY AT NATIONAL SCALE.

Systems become infrastructure.

I helped lead engineering for Zimbabwe's Impilo EHR, bridging clinical workflows, interoperability, security and the teams who sustain it.

WHAT IT ISNational electronic health-record infrastructure

PROBLEM
A national record must connect care, interoperability, security and long-term operational ownership.
MY ROLE
Engineering leadership
ENGINEERING
Led lifecycle decisions across clinical workflows, secure integration and technical team delivery.
RESULT
Engineering contribution to Zimbabwe's national Impilo EHR
STACK
EHR · FHIR/HL7 · Security · Delivery
PROJECT 01 / 04CLINICAL WORKFLOW

Care begins at the interaction.

Across WHO Digital Adaptation Kit work and Zimbabwe's national electronic partogram, I translate clinical guidance into usable, auditable workflows.

SYSTEM MAPCLINICAL WORKFLOW
01Guidance
02Decision rule
03Care action
RULESAFE NEXT ACTION
01 / CHALLENGE

Clinical guidance has to become a clear next action without losing safety, traceability or programme intent.

02 / CONSTRAINT

Preserve clinical intent while making every branch understandable, auditable and safe at the point of care.

03 / TECHNICAL DECISION

Model the guidance as explicit decision states instead of burying clinical logic inside interface screens.

04 / MY CONTRIBUTION

Modelled decision paths, validation states and auditable clinical interactions.

05 / OUTCOME

WHO DAK work + Zimbabwe electronic partogram

06 / TECHNOLOGIES

Clinical workflows · Interoperability · Data modelling

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