I'm a Software Engineer, Geospatial Data Scientist, and Cloud Engineer who thrives on creating scalable, data-driven solutions for environmental and spatial challenges.
- 🌍 Building cloud-native geospatial platforms
- 🧠 Exploring AI and deep learning for biodiversity modeling
- 🛰️ Experienced in remote sensing, GIS, and spatial machine learning
- 🎯 Passionate about making sense of complex spatial data with elegant solutions
| Project | Description | Tools |
|---|---|---|
| 🛰 Geospatial AI for Species Prediction | Machine learning model predicting species distribution across Africa using presence-only data. | R, Python, RF, QGIS, Google Earth Engine |
| 🌾 Agricultural Early Warning System | Real-time monitoring of crop stress using satellite data and AI. | Sentinel-2, Python, FastAPI, Leaflet |
| ☁️ Cloud Geospatial Processing Pipeline | Automated ETL for spatial data on AWS with scalable microservices. | Docker, AWS Lambda, PostGIS, Terraform |
- 🤖 Deep Learning for remote sensing imagery
- 🌐 Serverless geospatial APIs
- 🧪 Scalable ML workflows using Docker and Kubernetes
- 🔹 Research-based geospatial analysis
- 🔹 Cloud-native GIS applications
- 🔹 Environmental AI modeling
"Geospatial intelligence is not about maps — it’s about decisions."
Let’s turn data into insight, and insight into action.