🤯Google DeepMind Scholar 2024-2025| AI, Software, Data Engineer | Project Management
- Artificial Intelligence
- Machine Learning
- Data Science
- Climate Science
- Project Management
- Techno-Democracy and Governance
- Software Development
MSc Mathematical Sciences (Specialising in Artificial Intelligence for Science)
Stellenbosch University & African Institute for Mathematical Sciences(AIMS) South Africa
BSc Mathematical Sciences with I.T.
Maseno University, Kisumu, Kenya
AI · Climate · Africa
Building the next generation of weather intelligence for Africa.
My research sits at the intersection of machine learning and atmospheric science. My thesis, PiggyCast, introduces a stacking-based ensemble that outperforms individual frontier AI weather models — with gains that grow as forecast lead time increases.
Explore My Research →PiggyCast: Improving Weather Prediction through Stacking-Based Ensemble AI
A stacking ensemble trained on frontier AIWP model outputs to predict ERA5 variables — achieving notable RMSE improvements that grow with forecast lead time.
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