🎯 AI/ML Engineer
🏢 African Population and Health Research Center (APHRC)
📍 Kenya
I build intelligent systems that turn data into actionable insights. My work sits at the intersection of machine learning, data engineering, analytics, and real-world impact, especially in health and population research.
- 🤖 Design and deploy Machine Learning models
- 📊 Data analysis & visualization (Power BI, Tableau)
- 🧠 NLP & LLM applications (mental health, transcript analysis, clustering)
- ☁️ Cloud data pipelines (AWS, Azure, GCP)
- 🗄️ Database systems (SQL Server, PostgreSQL, MongoDB)
- 🛠️ Backend development (Python, Flask, Django)
- Applying ML to health and social research data
- Building scalable data pipelines
- Exploring LLMs for mental health screening and qualitative data analysis
- Model evaluation & interpretability
Python | SQL | R |
scikit-learn | TensorFlow | PyTorch | Pandas | NumPy | XGBoost
AWS | Azure | GCP | Docker
Power BI | Tableau | Matplotlib
- AI/ML research projects
- Data science in public health
- LLM-based tools for social impact
- Scalable analytics platforms
I enjoy translating complex data problems into simple, actionable solutions.