I am a B.Sc. Mathematics & Computer Science student at Kenyatta University, passionate about solving real-world challenges in Sustainability and Climate Adaptation using Machine Learning.
My work focuses on the intersection of Generative AI (RAG/Vision) and Cloud Infrastructure. I don't just train models in notebooks; I deploy them to production using AWS Lambda, Docker, and FastAPI.
- 💡 I’m looking to collaborate on Open Source Machine learning projects.
| Core AI & ML | Cloud & DevOps | Backend & Data |
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A Multi-Modal AI System for Food Security in Kenya.
- The Tech: Hybrid XGBoost/Random Forest + Llama 3.2 Vision + LangChain (RAG).
- The Engineering: Deployed via Docker Compose with an Intelligent Routing API (OpenRouteService).
- The Impact: Provides real-time rainfall prediction, crop disease diagnosis, and weather-safe transport routes for farmers.
Benchmarking Deep Learning Deployment Architectures.
- The Tech: Transfer Learning (Xception), TensorFlow Lite (Quantization).
- The Engineering: A comparative study deploying the same model on AWS Lambda (Serverless) vs. AWS EC2 (Persistent).
- The Impact: Demonstrated cost-effective, low-latency inference for edge weather monitoring.
"Data is the new oil, but Intelligence is the new engine."