Summary
Mugume Atwine is a data science specialist with 8 years’ experience building production-grade AI and data infrastructure for public health across Africa, currently leading the eLwazi ODSP program at Uganda Virus Research Institute. He co-led the design and deployment of Africa’s largest health data platform, enabling collaborative research across 22 countries and supporting an $88M consortium. Mugume combines hands-on ML engineering—MLOps, LLM tuning, and time-to-event clinical models—with curriculum design, having trained 150+ graduate students and mentored 25+ theses to grow regional AI capacity. His projects have measurably improved program targeting (3x for HIV prevention), reduced misinformation impact, and delivered national-scale chatbots and decision-support tools used by thousands. Notably, he builds solutions that tolerate limited infrastructure and prioritize FAIR data standards, making advanced analytics practical in resource-constrained settings. Based in Kampala, he’s available for healthcare AI consulting, technical leadership, and partnerships that translate research into sustainable impact.
7 years of coding experience
Certificate, Python for Data Science, IN PROGRES, Certificate, Python for Data Science, IN PROGRES at UCSanDiegoX
Certificate, Project Management, 90%, Certificate, Project Management, 90% at University of AdelaideX
Bachelor of Science in Computer Science, Computer Science, Bachelor of Science in Computer Science, Computer Science at Mbarara University of Science and Technology
Certificate, Evidence-Based Project Management, 68%, Certificate, Evidence-Based Project Management, 68% at The Australian National University (ANUx)
Master of Science in Computer Networking, Computer Science, Master of Science in Computer Networking, Computer Science at Limkokwing University of Creative Technology
Advanced Certificate of Education, Science, Advanced Certificate of Education, Science at Ntare School Mbarara
English, French