How I Can Help
AI Strategy & Roadmapping
I help you define a clear, actionable AI strategy that aligns with your organization's goals, ensuring your investment avoids common pitfalls and delivers measurable results in LMIC contexts.
End-to-End AI Solution Development
From data collection to deployment, I lead the development of custom AI/ML models and full-stack applications that are robust, scalable, and designed for the unique operational realities of your environment.
Data Infrastructure & Engineering
I build the foundational data pipelines and platforms required for successful AI. This includes establishing data governance, ensuring FAIR principles, and creating systems that turn fragmented data into a strategic asset.
Technical Training & Capacity Building
I empower your local teams with the skills they need to manage and sustain AI solutions independently, fostering local ownership and ensuring the long-term impact of your technological investments.
Featured Projects
Multilingual Health AI for Frontline Workers
HEAL Project
Problem: Frontline health workers couldn't access critical guidelines quickly, especially in local languages, creating dangerous delays in patient care.
Solution: Led an 8-person team to build an innovative multilingual application. My role involved guiding the full AI lifecycle, from data curation and LLM tuning to deployment.
Impact: Deployed a tool that provided instant, accurate health information in English and Luganda, empowering health workers to make faster, better-informed clinical decisions.
Continent-Wide Open Data Science Platform
eLwazi Platform (DS-I Africa)
Problem: Critical health data was trapped in institutional silos, preventing the large-scale collaborative research needed to tackle continent-wide challenges.
Solution: Co-led the data workstream for the central data platform serving 38 projects across 22 African countries. I led teams that designed and deployed the core infrastructure.
Impact: Established the technical foundation for an $88M research ecosystem, enabling collaborative health research at an unprecedented scale and pioneering FAIR data standards for Africa.
National AI Chatbot for COVID-19 Response
Makerere University & Africa Center of Excellence (ACE)
Problem: Health authorities were overwhelmed by 50,000+ daily COVID-19 inquiries while their IVR systems failed and misinformation spread rapidly.
Solution: As technical lead, I directed a 7-person team to architect and deploy a national AI chatbot using a scalable microservices architecture to handle 15,000+ concurrent users.
Impact: The chatbot processed over 200,000 citizen queries, automating critical communications, reducing the burden on healthcare workers, and providing a 24/7 source of reliable information.
Ethical AI for Clinical Decision Support
Infectious Diseases Institute (IDI)
Problem: Healthcare providers needed effective, real-time decision support, but were hampered by complex data and concerns over ethical AI implementation.
Solution: As Principal Project Lead, I steered a team of 7 to design and build a full-stack, ethical AI-powered Decision Support System from the ground up, serving 15+ health facilities.
Impact: Delivered a production-ready system processing 10,000+ patient records monthly, which improved clinical decision accuracy by 40% and established a trusted ethical framework.
My Mission: Turning Data into Health Impact
Research institutions and healthcare organizations across Africa are sitting on goldmines of critical health data—millions of patient records, genomic sequences, epidemiological surveys, and clinical trial results—yet this treasure trove remains largely untapped.
They face a perfect storm: rapidly growing datasets, limited local expertise, inadequate infrastructure, and urgent health challenges that require immediate, data-driven solutions.
Meanwhile, critical decisions about disease prevention, treatment protocols, and resource allocation are still being made with incomplete information, while the answers lie buried in their own data warehouses.
The solution isn't just about importing generic AI models. It's about building AI solutions designed for African realities—systems that work with limited connectivity, respect diverse health practices, and integrate with existing infrastructure without requiring massive overhauls.
This is what I do. I design and deploy machine learning pipelines that solve real-world challenges.
From leading data catalog development at the Uganda Virus Research Institute to building scalable ML solutions with ACE Bioinformatics, my work spans from clinical decision support systems to pandemic preparedness platforms, always with a focus on responsible and impactful AI.
The result is a future where data doesn't just sit in a warehouse—it saves lives. If you are ready to unlock the potential of your data and build robust, impactful health solutions, let's talk. Schedule a complimentary consultation to discuss your specific challenges and explore how we can achieve your goals together.
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