Building next-generation Earth Observation systems, AI-driven geospatial platforms, and cloud-native solutions that bridge space technology with real-world impact.
I'm Dr. Kazi Rifat Ahmed, a Full Stack Geospatial AI Engineer & Tech Lead specializing in transforming how industries leverage Earth Observation data through cutting-edge technology, satellite data services, innovation, and leadership.
Advanced machine learning and deep learning solutions for satellite imagery analysis and geospatial intelligence.
Scalable, resilient geospatial platforms using Kubernetes, microservices, and modern DevOps practices.
Large-scale EO data processing, analytics, and visualization from multi-sensor platforms.
Blockchain and Quantum Computing applications for next-generation geospatial solutions.
QuantumED UG, Darmstadt, Germany
Sensor Aktor GmbH, Darmstadt, Germany
Remote Sensing Laboratory, University of Zurich, Switzerland
Spacenus GmbH, Darmstadt, Germany
ISEE Bangladesh, Vanderbilt University, USA
Swiss Blockchain Hackathon
Developed SOMO (SOil to MOuth), an innovative blockchain solution for the agriculture and food sector using Amazon Managed Blockchain with Hyperledger Fabric.
View Winning PitchImageCLEF 2017
Best performing team for population density estimation using Copernicus Sentinel-2 data and machine learning algorithms.
ESA Land Remote Sensing Course
Awarded at the 8th Advanced Training Course on Land Remote Sensing, University of Leicester, organized by ESA.
German Academic Exchange Service
Fully funded academic scholarship for M.Sc. at TU Darmstadt, including thesis funding for geoscience research.
Thesis: Remote Sensing of Sun-Induced Chlorophyll Fluorescence for Advanced Ecosystem Evapotranspiration Estimates
Top 5% of class • Major in Remote Sensing & Geoinformatics
Ranked 2nd • Major in Remote Sensing & Geomorphology
Major in Geoinformatics, Remote Sensing & Hydrogeology
Interested in collaboration, research opportunities, or satellite data services?
Explore my ventures: