Architecting next-generation GeospatialAI (GeoAI) & Earth Observation (EO) systems and multi-sensor EO drone platforms, engineering satellite data pipelines, deploying GeoAI and ML/DL systems, and building cloud-native geospatial infrastructure while exploring quantum computing and blockchain to push the boundaries of what satellite data can deliver.
I'm Dr. Kazi Rifat Ahmed, a GeoAI & EO Platform Architect, Full Stack GeoAI Engineer, and Tech Lead engineering satellite data pipelines and multi-sensor EO drone platforms, deploying AI/ML-DL systems for geospatial intelligence, architecting cloud-native EO infrastructure, and pioneering emerging technologies like quantum computing and blockchain to transform Earth observation data into real-world impact at scale.
Designing and deploying GeoAI systems from deep learning models for satellite imagery analysis to end-to-end ML pipelines for geospatial intelligence.
Building domain-specific GeoAI agents and skills powered by LLMs — enabling natural-language interaction with geospatial data, autonomous EO analysis workflows, and AI-assisted coding for remote sensing tasks.
End-to-end EO data engineering for large-scale multi-sensor & multi-mission processing pipelines, analytics, and geospatial visualization at scale.
Designing next-generation airborne EO platforms combining X-band SAR, RGB, NIR, thermal, and LiDAR sensors with onboard edge AI enabling affordable, all-weather, very high-resolution Earth observation beyond existing spatio-temporal resolution constraints.
Architecting scalable, resilient EO platforms using Kubernetes, microservices, and cloud-native DevOps from ground segment to user-facing APIs.
Exploring quantum computing and blockchain for next-generation geospatial data security, provenance, and processing efficiency.
Technical Lead | Business Intelligence
Multi-mission. Multi-sensor. Cloud-native. API-first.
A state-of-the-art cloud-native Web GIS and Remote Sensing platform, APIs, and analytics for satellite data-driven insights, built on Green IT principles with agile and cutting-edge technology. Enables users to search, download, visualize, monitor, and analyze multi-sensor and multi-mission EO data (Optical & Radar) at scale without building their own infrastructure.
Founder | Technical Lead | Business Intelligence
Turning terabytes of satellite data into actionable intelligence.
A physics-based, mechanistic advanced Earth System Model (ESM) platform delivering sensor-specific geospatial intelligence from field scale to global scale, in daily to monthly at 10 m to 300 m resolution across SaaS, DaaS, and PaaS delivery models. Supporting climate resilience (adaptation & mitigation), agricultural monitoring, ecosystem management, environmental monitoring, urban planning, disaster management & response, supporting Sustainable Development Goals (SDGs) achievement and more.
Founder | Technical Lead | Business Intelligence
Sees through clouds. Works in the dark. Thinks at the edge.
The world's first affordable multi-sensor EO drone platform co-registering X-band SAR, RGB, 3D Depth, NIR, Thermal, and LiDAR on a single airborne platform with onboard edge AI. Addresses critical gaps in satellite spatial resolution, revisit frequency, data timeliness, edge AI & computing, all-weather operability, and ESM cal/val readiness, and delivering near-real-time multi-modal geospatial intelligence from the air.
The first affordable multi-sensor drone that sees through anything. Combines X-band Synthetic Aperture Radar with RGB, near-infrared, thermal, and LiDAR — all co-registered on a single platform with onboard edge AI.
AI-driven decision-support platform generating go/no-go confidence scores for road running, trail running, road biking, and mountain biking by analyzing location-based weather forecasts with ML. Features natural-language route creation, interactive editing, GPX/KML export for Garmin, interactive web maps, and an LLM chatbot.
ML/DL-powered web app forecasting Bitcoin, Ethereum, and XRP prices across daily to weekly horizons by fusing historical market data, social media sentiment, and trading volumes. Includes an interactive dashboard and an integrated LLM chatbot (Llama 3.2 via Ollama) for conversational analysis of blockchain trends.
Blockchain-based food traceability service supporting local farmers with direct-to-customer sales, food ordering & delivery, live tracking, crypto payments, food security & quality certification, farmer-customer networking, and an interactive web dashboard with regional farm details and web map. Developed at Swiss Blockchain Hackathon 2019.
Real-time weather and astronomical data app showing 5-day forecasts, full sun ephemeris (sunrise/sunset, golden hour, solar noon, day length), moon ephemeris (phase, illumination, moonrise/moonset), illustrated moon phases, and interactive web maps with sun/moon positions and daylight terminator line.
Query geospatial data with natural language and visualize on map and chart with custom styles — replacing complex traditional GIS software for data query and visualization. Easily download results without handling multiple complex software.
Specially trained LLMs for coding geospatial tasks with detailed explanations and downloadable code files (Python, Java, C/C++, Rust, JavaScript). Architecture based on the GeoAI-Assistance-Ext project.
A VS Code extension for local GeoAI assistance on any geospatial task with an integrated chat interface powered by DeepSeek-R1 via Ollama.
Combination of unsupervised and supervised machine learning algorithms for satellite image classification to produce precise location-based landuse/landcover maps. Useful for the wider GeoAI community.
Jupyter notebooks for calculating widely used optical indices from satellite images — for studying earth surface features and their spatio-temporal changes.
QuantumED UG, Darmstadt, Germany
Sensor Aktor GmbH, Darmstadt, Germany
Remote Sensing Laboratory, University of Zurich, Switzerland
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 satellite data services?
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