Building the systems that connect labs, clinics, and national health data — reliably, at scale.
I'm a software developer based in Malawi with 6+ years of experience building and maintaining national-scale health information systems — the kind of infrastructure that quietly keeps laboratories, clinics, and health programmes running.
My day-to-day work sits at the intersection of backend engineering, systems integration, and public health data. I build the APIs, sync services, and machine-integration layers that let laboratory instruments, EMRs, and national repositories talk to each other reliably — across 50+ health facilities and counting.
Alongside that, I'm growing into epidemiological data analysis and infectious disease modelling, applying R and Python to real public health datasets as part of a research team.
- IBLIS — a Laboratory Information Management System deployed nationwide across 50+ hospitals under Malawi's CDC/PEPFAR programme, built with Vue.js and Ruby on Rails
- NLIMS — Malawi's national laboratory data repository and API integration layer; I currently maintain it and build new features connecting it to other EMRs
- Malawi National Laboratory Tests Catalog System — built and actively maintained
- Specimen ID Generation System — sample tracking for national laboratory operations
- ART-EMR — contribute to build and maintenance
- MAHIS — Malawi's national Health Information System; contributed to ART, Nutrition, and Lab integration modules
- OpenMRS — integrations connecting OpenMRS-based platforms with national laboratory and health data systems
Connecting laboratory analyzers to software systems, using ASTM, HL7 v2, and MLLP:
Lab Analyzer (Sysmex / Mindray / GeneXpert)
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│ ASTM / HL7 v2 / MLLP
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Machine-Integration Driver
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│ REST API
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LIMS / NLIMS
│
▼
EMR · ART-EMR · MAHIS · National Reporting
- Machine-integration drivers for 15+ hematology, biochemistry, and microbiology analyzers
- HiLabel — printing service for Zebra label printers, supporting specimen labelling across sites
- OERR integration — connected EGPAF systems with GHII's OERR platform for ward-based test ordering and result receiving
- RESTful APIs linking LIMS, ART-EMR, EID/VL, and R4H systems for real-time national data sharing
A lightweight, multi-protocol gateway for connecting laboratory analyzers and lab-floor devices to a Laboratory Information System — built with Rust and Tokio for reliable, high-performance handling of instrument traffic.
Laboratory Analyzer
│
│ HL7 v2 / MLLP / TCP / UDP
▼
LIS Gateway (Rust · Tokio)
│
│ REST / JSON
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Laboratory Information System
Technologies: Rust · Tokio · HL7 v2 · MLLP · TCP · UDP · REST · JSON
Beyond application development, I support epidemic modelling work at the Centre for Epidemiological and Mathematical Research (CEMAR):
- Co-author on a Bayesian geospatial epidemiology study on urban malaria in Malawi (R-INLA), submitted to Epidemics — Special Issue: Training the Future
- Data cleaning, analysis, and visualization for large-scale epidemiological datasets using R and Python
- Co-author on a cholera and malaria transmission modelling study, presented at the IDM Symposium (United States)
- R support mentor for CEMAR 2025, a pan-African infectious disease modelling training programme reaching 190 participants across 17 countries
I'm actively working to deepen this side of my skillset — statistics is where my degree started, and it's where I want a growing share of my work to live.
Languages
Frameworks & Web
Data & Integration
Databases
Infrastructure
Networking
Vellemu, R., Adam, N.S., Masoambeta, J., Mbewe, A.B., Kameme, Y.C., Ndovie, D., Kafere, M., Gausi, H., Mhone, B., & Nyondo, W.M. "Bridging the infectious disease modeling gap in Africa requires the integration of stakeholder-driven geospatial analysis with replicable training frameworks for local capacity building." Manuscript submitted to Epidemics (Special Issue: Training the Future), 2026.
- 🧪 Maintaining and extending NLIMS, Malawi's national laboratory data and API integration layer
- 🧫 Building and maintaining IBLIS, Malawi's national Laboratory Information Management System
- 🏥 Building and maintaining MAHIS ART, Nutrition and Lab modules, plus ongoing laboratory system integrations
- ⚙️ Building out LIS Gateway, a Rust/Tokio multi-protocol service for laboratory instrument connectivity
- 🚨 Building an infectious disease early warning system for multi-disease surveillance and forecasting
- 💞 Building and maintaining Zalamavu, a dating app published on the Google Play Store
- 📊 Deepening my skills in infectious disease modelling, evidence synthesis, and evidence-to-policy translation
- 🌐 Building on a networking foundation (CCNAv7, DevNet Associate) to better support the infrastructure behind the systems I build
- 🤝 Open to conversations on health systems interoperability, laboratory informatics, and epidemiological data science



