LAT −1.2921° · LON 36.8219° · Nairobi

Turning pixels from space into decisions on the ground.

I'm Teddy Innocent Mwangi — a geospatial engineer integrating GIS, remote sensing and AI to solve real problems in agriculture, urban planning, climate and disaster response.

Discipline
Geospatial Eng.
Stack
GIS · Python · AI
Based
Nairobi, KE
Teddy Innocent Mwangi
// operator
Teddy Innocent Mwangi
Geospatial Engineer · AI Analyst
What I do

Geospatial engineering, integrated with AI.

01

AI-Powered Spatial Analysis

Machine learning applied to satellite and GIS data — classification, change detection, and prediction pipelines built in Python.

02

GIS Mapping & Cartography

Clean, decision-ready maps and dashboards from field, drone and satellite sources.

03

Consulting & Advisory

One-on-one sessions to scope your problem and design a geospatial + AI approach that actually ships.

Satellite scanning Earth with spectral data layers
From Space to Insight

Remote sensing that turns raw imagery into intelligence.

Every project follows a simple pipeline: capture the data, process it, apply AI, and deliver insight you can act on.

STEP 01

Satellite Data

High-resolution imagery from multiple sources — optical, radar, thermal and aerial sensors.

STEP 02

Processing

Advanced digital image processing — correction, enhancement, feature extraction and band stacking.

STEP 03

AI Analysis

Machine learning models that detect patterns, classify land cover and spot changes over time.

STEP 04

Actionable Insights

Clear visualizations and reports that support confident, evidence-based decisions.

Short-wave infrared satellite composite showing vegetation, soil and water
Real data preview
SWIR composite

Detect. Monitor. Act.

Change detection is the heartbeat of modern remote sensing: track land use, vegetation, water bodies and urban growth over time.

📈
Monitor Changes
Track land use, vegetation & urban growth
Identify Risks
Detect floods, deforestation & threats
Support Decisions
Empower planning & sustainable policy
Precision. Accuracy. Impact.

High-value geospatial solutions for every sector.

Collage of geospatial applications across agriculture, environment, urban planning, disaster response, natural resources and infrastructure

From cropland to city corridors, geospatial + AI helps us measure what is happening now and predict what comes next.

A

Agriculture

Crop monitoring, yield estimation, land assessment and precision agriculture.

E

Environment

Forest monitoring, biodiversity, conservation and carbon tracking.

U

Urban Planning

Land use mapping, infrastructure planning and urban growth analysis.

D

Disaster Management

Flood mapping, risk assessment, early warning and response planning.

N

Natural Resources

Resource exploration, site selection and inventory mapping.

I

Infrastructure

Route planning, asset monitoring and maintenance optimization.

Portfolio

Selected projects.

Applied geospatial and AI work — from national-scale mapping to targeted site analysis.

Map of Kenya showing all 47 county boundaries with data signals
Project 01 · National scale

Kenya, mapped by potential.

Explore the signals shaping connectivity, settlement, and industry across all 47 counties.

47 countiesConnectivitySettlementIndustry
View this project
Case Study · Digital Image Processing

Same scene, three lenses — three different stories.

A single satellite acquisition, reprocessed across spectral bands to reveal vegetation health, urban footprint, water bodies and bare earth.

Short-Wave Infrared (SWIR)
BAND COMPOSITE · 01

Short-Wave Infrared (SWIR)

Useful for distinguishing vegetation, bare ground, built-up areas and water bodies.

Standard False Color (Infrared)
BAND COMPOSITE · 02

Standard False Color (Infrared)

Highlights vegetation, urban zones, water and bare soil in one composite view.

Grayscale / Panchromatic
BAND COMPOSITE · 03

Grayscale / Panchromatic

A single broad band that emphasizes texture and reflectance at high spatial detail.

Technology Driven. Results Focused.

Cutting-edge tools and techniques behind every deliverable.

Geospatial technology workspace with GIS maps, code and AI dashboards on multiple screens
Stack

I combine open-source GIS, cloud-based Earth observation platforms, Python data science and modern AI to deliver repeatable, scalable solutions.

Core Capabilities

  • GIS & Spatial Analysis
  • Remote Sensing
  • Digital Image Processing
  • Machine Learning / AI
  • Deep Learning
  • Python for Geospatial
  • ArcGIS / QGIS
  • Google Earth Engine
  • Data Visualization

Why remote sensing matters

Satellites can revisit the same place every few days, producing an objective record of how the planet is changing. When combined with AI, that record becomes a forecasting tool — for crops, forests, cities, water and risk.

I help clients translate that data into practical answers: where should we plant, where is the flood risk highest, where is the forest disappearing, where should the next road go?

About

Engineer. Analyst. Problem solver.

Geospatial Engineering undergraduate at the University of Nairobi with a strong interest in GIS, mapping, Python, AI and computer technologies. I care about solving technical problems, running honest research, and applying geospatial tools to real-world challenges.

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Education
B.Eng. Geospatial Engineering
University of Nairobi · 2022–Present
KCSE
St. Joseph's Boys High School · 2018–2022
Projects
Solving Dairy Production with AI + Geospatial Analysis
Jun 2027 – Sep 2027
Certification
Go-7 AdaptAI Internship Programme
Skills
GIS & Geospatial EngineeringPythonAI ToolsRemote SensingResearchAnalytical Thinking
Available for projects

Have a spatial problem? Let's map it out.

High-value analysis and consultations powered by modern AI tools. Fastest way to reach me is WhatsApp.