Self-taught ML Engineer from Kisumu, Kenya 🇰🇪 — building production-ready ML systems that solve real African problems, from flood prediction to salary transparency.

With a B.Sc. in Physics and Mathematics from Moi University and hands-on geophysical field research at KenGen's Olkaria Geothermal Project, I bring scientific rigour to every model I build. Every project ships with a live URL, SHAP explainability, and a real problem it solves — built entirely on Android (Termux · PyramIDE · Colab).

• 🎓 B.Sc. Physics (Major) + Mathematics (Minor) — Moi University, 2012
• 🏭 Industrial Attachment — KenGen Olkaria Geothermal Project, 2011 (MT and TEM methods)
• 🔬 Research — Eburru Geothermal Prospect geophysical study — Prof. Mghendi Mwamburi
• 📍 Location — Kisumu, Kenya (near Lake Victoria)
• 🕒 Timezone — EAT (UTC+3) · Available 08:00–17:00 · Async-friendly for EU/US
• 🌐 Open To — Remote ML Engineer / Data Science roles — US · EU · Global

• 📖 Reading: Friedman (2001) on GBM — connecting to Nyando flood spatial autocorrelation
• 🌱 Exploring: Computer Vision for crop disease detection (PlantVillage dataset)
• 🎯 Target: MSc AI/CS application to VUB (Belgium) and other EU universities
• 💬 Ask me about: flood prediction · African salary data · church management SaaS · SHAP

• 🧠 Build end-to-end ML systems — raw data → feature engineering → model training → live API
• 📐 Apply Physics and Mathematics background to feature engineering and model evaluation
• 🌍 Reduce real disaster risk — Nyando Flood AI gives 50,000 Kano Plains residents earlier warning
• 🚢 Ship production-grade code — FastAPI · Flask · Docker · GitHub Actions CI/CD
• 📊 Explain every prediction with SHAP — because unexplainable AI is not good enough
• 🔒 Build secure multi-tenant SaaS — JWT rotation, RBAC, M-Pesa payment integration

Languages and Data

Machine Learning and AI

Web and Deployment

B.Sc. Physics (Major) + Mathematics (Minor) — Moi University, Kenya · 2008–2012

Classical Mechanics · Statistical Physics · Linear Algebra · Calculus · Numerical Methods

Research: Eburru Geothermal Prospect (MT and TEM methods) — Prof. Mghendi Mwamburi

Industrial Attachment — KenGen Olkaria Geothermal Project · 2011

Large-scale geophysical survey data collection at the most productive geothermal field in Africa. Applied MT and TEM subsurface imaging — first exposure to scientific data pipelines at production scale.

"I build production ML systems — not just notebooks. My Physics and Mathematics background means I think carefully about what a model is actually measuring before I trust its output. Every project I ship has a live URL, SHAP explainability, and a real problem it solves — built from Kisumu, Kenya, on an Android phone, because constraints sharpen thinking."

• Prof. Johan Loeckx — VUB AI Lab, Vrije Universiteit Brussel, Belgium
• Prof. Samuel Liyala — Jaramogi Oginga Odinga University of Science and Technology, Kenya

Available for remote ML / Data Science roles — US · EU · Global

Building from Kisumu, Kenya — one model at a time 🌍