Meet Our Visionary Team

The brilliant minds combining geospatial intelligence with AI to build climate resilience across Africa

10+

Years Combined Experience

5

African Countries Covered

47

Projects Completed

100%

Passionate About Africa

Core Development Team

The architects of our geospatial intelligence platform and Our visionary leaders driving innovation and strategy

Clement Ndome

Clement Ndome

Lead AI-ML & GIS Developer

BSc Geospatial Science, Dedan Kimathi University
Nairobi, Kenya

Full-stack GIS developer skilled in Python, Django, and Flask. Builds intelligent systems for forest monitoring, carbon mapping, and early warning. His projects span land cover prediction apps, Flask-based deforestation tools, and ML models for environmental change.

GIS Django/Flask Databases AI/ML Forest Monitoring

Current Focus

Developing next-gen flood prediction models for East Africa

Francis Kigia

Francis Kigia

Geospatial Systems Engineer

BSc Geospatial Science, Dedan Kimathi University
Nairobi, Kenya

A backend-focused GIS engineer with strong capabilities in Django and spatial databases. Led the development of a national water resource mapping system and is now expanding his skills into frontend development with Vue.js.

Django Spatial Databases Vue.js Water Resources

Current Focus

Optimizing our real-time data processing pipelines

Specialized Applications Team

Experts building domain-specific solutions and The brilliant minds turning data into actionable insights

Joseph Musyimi

Joseph Musyimi

GIS & Mobile Systems Engineer

Nairobi, Kenya

Geospatial software developer with experience building a cadastral verification system for land survey applications. Skilled in Vue.js, Express.js, and Web GIS tools.

Vue.js Express.js Mobile GIS Cadastral Systems

Current Project

Mobile GIS applications for field data collection

Elizabeth Muthoni

Elizabeth Muthoni

GIS & Remote Sensing Specialist

Nyeri, Kenya

Research-focused GIS professional with expertise in soil yield modeling and sedimentation analysis. Contributes to early warning systems for agriculture using satellite data and spatial intelligence.

Remote Sensing Soil Analysis Early Warning Systems Agriculture

Current Project

Smart early warning system for smallholder farmers

Daniel Kamau

Daniel Kamau

Geospatial Data Scientist

Nairobi, Kenya

Focused on environmental data analytics and satellite image interpretation. Has conducted flood mapping projects using Sentinel imagery on Google Earth Engine for disaster risk management.

Data Science Earth Engine Flood Mapping Risk Analysis

Current Project

Flood risk assessment using Sentinel data

SpatioAI Team Culture

Our Team Culture

At SpatioAI, we foster a collaborative environment where innovation meets purpose. Our team thrives on:

Innovation Fridays

Weekly sessions to explore new technologies and creative solutions.

Field Research

Regular visits to project sites to understand real-world challenges.

Community Focus

Designing solutions with and for the communities we serve.

Want to Join Our Mission?

We're always looking for passionate individuals to help build climate resilience across Africa.