AI and Deep Learning specialist currently completing an MSc in AI and Data Analytics at the University of Leeds, UK. Focused on developing and deploying deep learning solutions to address real-world challenges, particularly in healthcare. Combines over a decade of experience in digital health and open-source development with technical expertise in Python, PyTorch, and data-driven innovation. Passionate about creating scalable, impactful technologies that improve outcomes and advance equitable access in healthcare and beyond.
Conceived, initiated, and led the development of an open‑source, offline‑first mobile learning platform for healthcare training, deployed at national scale in collaboration with Ministries of Health.
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Product owner for the open‑source OppiaMobile platform, leading requirements definition, roadmap prioritisation, and iterative delivery based on user needs and field feedback.
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Supported the deployment of nationally scaled mobile health applications in Ethiopia, Uganda, and Liberia, working closely with implementation teams to adapt systems to real‑world data, infrastructure, and usability constraints.
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Collaborated with monitoring, evaluation, and analytics teams, advising on data collection approaches, usage analysis, and interpretation of quantitative and qualitative field data.
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Facilitated user‑centred design workshops with WHO stakeholders for the Global Dementia Observatory, translating complex requirements into actionable technical and data‑driven design decisions.
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Led development of the ORB platform, an open repository for health‑worker training resources, shaping platform architecture and workflows to support discoverability, reuse, and impact measurement.
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Provided strategic and technical advisory support to partner organisations, helping them align content, tooling, and delivery with program objectives and user needs.
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Supported organisations in submitting, structuring, and using content data, improving data quality and consistency to enable effective training programme delivery and evaluation.
- Co-founded and directed a non-profit organization focused on applying technology to healthcare education and training at scale, conceiving and initiating the OppiaMobile learning platform as a solution to address gaps in mobile learning for healthcare workers.
- Secured UK Aid Direct funding for a multi‑year programme in Ethiopia, responsible for technical delivery, reporting, and outcome evaluation.
- Led the technical development of the OppiaMobile learning platform, overseeing architecture, implementation, and iterative improvement informed by real‑world usage.
- Managed organisational budgeting, planning, and delivery, working with NGOs and commercial partners to align technical solutions with operational constraints.
Selected modules: Machine Learning, Deep Learning, Data Mining & Text Analytics, Cloud Computing, Algorithms
- Thesis project: A Proof‑of‑Concept Framework for Comparing Machine Learning and Large Language Models in Healthcare Using Explainable AI
International Journal of Medical Informatics (Shannon, Ireland), 101, 9–14. https://pubmed.ncbi.nlm.nih.gov/28347452/
This report shares an initial blueprint to create a scalable, locally sustainable, end-to-end content distribution process that uses mobile technology to provide frontline health workers access to relevant health content.
PloS One, 8(10), e77563. https://doi.org/10.1371/journal.pone.0077563