Harnessing the power of geospatial data and space technologies to address real-world issues and contribute to sustainable solutions.
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A sanguine computer-savvy GIS & Earth Observation (EO) Professional with a strong focus on leveraging geospatial technologies to tackle complex challenges and uncover insights that drive decision-making.
My journey in the Geospatial field started with curiosity and has evolved into a professional career built on continuous learning and problem-solving.
Grade: First Class Honours
Dedan Kimathi University of Technology
Oct 2021 - Jan 2025
Grade: Distinction
Teaching Science & Technology Inc.
July 2024 - August 2024
Grade: Distinction
African Space Leadership Institute
Nov 2023 - Dec 2023
Grade: Distinction
African Drone & Data Academy
Oct 2023 - Nov 2023
Center: Remote Sensing Research Group (RSRG)
Project: "Participatory Approach to Climate Change Mitigation and Forest Restoration in the Muringato Catchment Area (MC2FM)".
Kenya Space Agency (KSA)
Project: "Small Scale Crop Mapping (SSCM) using AI/ML". Client: Murang'a County
STAR.VISION Aerospace Group Limited
Project: "STAR.VISION's Space borne AI Algorithm Rideshare Program." by STAR.VISION & Kenya Space Agency (KSA).
Mau Complex Forest Watch (MCFW) is an initiative focused on promoting reforestation efforts across the Mau Forest Complex. This tool leverages Geographic Information System (GIS) and remote sensing to assess the potential areas for Tree Reforestation initiatives.
As part of the program by STAR.VISION Aerospace Group Limited & The Kenya Space Agency (KSA), this project focuses on the development of AI-Powered algorithm to help automate tea crop health monitoring from space.
AquaSense Africa is a cutting-edge water quality monitoring platform that leverages advanced remote sensing and deep learning technologies to analyze and visualize key water quality parameters, including turbidity, chlorophyll concentration, and algal blooms across any African water body.
A Web GIS Application to determine coffee farmers' compliance with the European Union Deforestation Regulations (EUDR).
FloodGuard Nairobi (FGN) is a tool developed for flood disaster preparedness, monitoring, response, and risk reduction. Incorporated with various geospatial layers, the tool identifies flood-prone areas along riparian reserves, as well as flood vulnerability scores within Nairobi County.
I presented my award-winning project for the ESRI East Africa 2025 Young Scholars Program. I emerged position 1 upon presenting my project titled; "EUDR Compliance: A Web-GIS Solution for coffee farmers in Muringato Catchment" in front of a panel of judges and other 17 nominees from Kenyan Universities.
Presented the developed EUDR Coffee Farmers Compliance Monitoring Application during the BMBF-MC2FM Project Stakeholders Workshop between Ruhr Bochum University (RUB) and the Remote Sensing Research Group (RSRG). EUDR CFCMA is a tool aimed at determining coffee farmers compliance with the European Union Deforestation Regulations (EUDR) in the Muringato Catchment.
Presented on the development of AI-Powered algorithm to help automate tea crop health monitoring from space. This is part of the Rideshare SpaceBorne AI program by STAR.VISION Aerospace Group Limited & The Kenya Space Agency (KSA).
I presented my award-winning project for the ESRI East Africa 2025 Young Scholars Program. I emerged position 1 upon presenting my project titled; "EUDR Compliance: A Web-GIS Solution for coffee farmers in Muringato Catchment" in front of a panel of judges and other 17 nominees from Kenyan Universities.
Facilitated by the BMBF-MC2FM Project, I actively participated in the 3-Day workshops held in 6 primary schools within the Muringato Catchment. I conducted trainings to learners on the applications of Calliope Mini including how satellites capture light reflections from the Earth.
Presented the developed EUDR Coffee Farmers Compliance Monitoring Application during the BMBF-MC2FM Project Stakeholders Workshop between Ruhr Bochum University (RUB) and the Remote Sensing Research Group (RSRG). EUDR CFCMA is a tool aimed at determining coffee farmers compliance with the European Union Deforestation Regulations (EUDR) in the Muringato Catchment.
Presented on the development of AI-Powered algorithm to help automate tea crop health monitoring from space. This is part of the Rideshare SpaceBorne AI program by STAR.VISION Aerospace Group Limited & The Kenya Space Agency (KSA).
Feel free to reach out for collaborations or just a friendly hello