Full Stack Geospatial AI Engineer & Tech Lead

Transforming
Satellite Data
into Intelligence

Building next-generation Earth Observation systems, AI-driven geospatial platforms, and cloud-native solutions that bridge space technology with real-world impact.

14+ Years Experience
2 Tech Startups
Ph.D. Remote Sensing Sci. & Tech.
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About Me

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.

AI/ML-DL for Geospatial

Advanced machine learning and deep learning solutions for satellite imagery analysis and geospatial intelligence.

Cloud-Native Architecture

Scalable, resilient geospatial platforms using Kubernetes, microservices, and modern DevOps practices.

Satellite Data Engineering

Large-scale EO data processing, analytics, and visualization from multi-sensor platforms.

Emerging Technologies

Blockchain and Quantum Computing applications for next-generation geospatial solutions.

Tech Stack

PythonJavaJavaScriptTypeScript BashKubernetesDevOps AI/ML-DLMLOpsLLM IntegrationBlockchain Remote SensingGeospatial Data Science

Research Interests

  • Geospatial AI & Big Data Analytics
  • Satellite Data Engineering & EO Systems
  • Advanced Remote Sensing Techniques
  • Drone Sensors & Space Technology
  • Quantum Computing & Blockchain
  • Planetary Science & Exploration

Business Acumen

Bridging the gap between cutting-edge space technology, satellite data services, and market-ready solutions. Expertise in transforming complex satellite data pipelines into scalable SaaS/PaaS/DaaS offerings that deliver measurable ROI across climate adaptation, agriculture, disaster management, and carbon markets.

Experience

Jan 2025 — Present

CTO - Technical Director & Co-Founder

QuantumED UG, Darmstadt, Germany

  • Developing state-of-the-art Earth System Models as Satellite Data Services using cutting-edge geospatial tools and AI technologies
  • Architecting cloud-native solutions with GeoServer, GDAL, Kubernetes, Quarkus, and Keycloak
  • Full-stack development: Java, Python (backend) and JavaScript, TypeScript, HTML/CSS
  • Implementing AI-{ML/DL} pipelines for geospatial data processing at scale
  • Delivering SaaS, PaaS, and DaaS solutions
  • Leading business intelligence and project management initiatives
  • Technical documentation, R&D leadership, and strategic planning
Jan 2022 — Present

CTO - Technical Director & Co-Lead

Sensor Aktor GmbH, Darmstadt, Germany

  • Building cloud-native Web GIS and Remote Sensing platform for satellite data access, analysis, and visualization
  • Architecting cloud-native solutions with GeoServer, GDAL, Kubernetes, Quarkus, and Keycloak
  • Full-stack development: Java, Python (backend) and JavaScript, TypeScript, HTML/CSS
  • Implementing AI-{ML/DL} pipelines for geospatial data processing at scale
  • Delivering SaaS, PaaS, and DaaS solutions
  • Leading business intelligence and project management initiatives
  • Technical documentation, R&D leadership, and strategic planning
Jan 2018 — Dec 2021

Doctorate (Ph.D.) Researcher

Remote Sensing Laboratory, University of Zurich, Switzerland

  • Developed advanced forward modeling for Earth radiation fluxes and ecosystem transpiration estimation
  • Pioneered Sun-Induced Chlorophyll Fluorescence applications for crop drought monitoring
  • Big satellite data modeling using Radiative Transfer Models in Python
  • Course lecturer and co-supervisor for postgraduate research
Oct 2017 — Dec 2017

Geospatial Engineer

Spacenus GmbH, Darmstadt, Germany

  • ESA Integrated Application Programme project contributor
  • Sentinel-2 data processing and algorithm development for autonomous cloud masking
  • Automatic composition of cloud-free satellite imagery with road networks
Jan 2012 — May 2015

Research Assistant

ISEE Bangladesh, Vanderbilt University, USA

  • USONR & NSF Belmont Forum funded project
  • Flood modeling using in-situ and space-borne remote sensing data
  • Land cover classification using optical and radar satellite data
  • Bathymetry surveys and 3D river modeling

Skills

Leadership & Business

Entrepreneurship
Technical Leadership
Project Management
Business Modeling
Strategic Decision Making
R&D Management
Team Collaboration
Technical Communication

Geospatial & Remote Sensing

Satellite Data Engineering
Remote Sensing Science & Technology
Multi-sensor Image Analysis
Atmospheric Correction
Earth System & Climate Modeling
Object Detection & Classification
Feature Identification & Extraction

AI & Machine Learning

Supervised Learning
Unsupervised Learning
Semi-supervised Learning
Reinforcement Learning
Scikit-learn & Scikit-image
PyTorch & TensorFlow
Generative AI & LLMs

Development & Engineering

Java & Python Backend
JavaScript & TypeScript Frontend
GDAL/OGR, Rasterio, GeoPandas
Leaflet & Folium Web Mapping
Django & GeoDjango
PostGIS & PostgreSQL
Geospatial Software DevOps

Infrastructure & Cloud

Kubernetes Orchestration
Apache Camel & Quarkus
Keycloak IAM
GeoServer
MinIO Object Storage
Git Version Control
Linux DevOps & VMs

Awards & Recognition

2019

AWS Prize Winner

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 Pitch
2017

ImageCLEF Germany Winner

ImageCLEF 2017

Best performing team for population density estimation using Copernicus Sentinel-2 data and machine learning algorithms.

2018

Best Poster Award

ESA Land Remote Sensing Course

Awarded at the 8th Advanced Training Course on Land Remote Sensing, University of Leicester, organized by ESA.

2014-2016

DAAD Scholarship

German Academic Exchange Service

Fully funded academic scholarship for M.Sc. at TU Darmstadt, including thesis funding for geoscience research.

Education

2024
Doctor of Philosophy (Dr.sc.nat)
University of Zurich, Switzerland
Remote Sensing of Water Systems

Thesis: Remote Sensing of Sun-Induced Chlorophyll Fluorescence for Advanced Ecosystem Evapotranspiration Estimates

2016
Master of Science
Technische Universität Darmstadt, Germany
Tropical Hydrogeology & Environmental Engineering

Top 5% of class • Major in Remote Sensing & Geoinformatics

2014
Master of Science
Khulna University, Bangladesh
Environmental Science

Ranked 2nd • Major in Remote Sensing & Geomorphology

2011
Bachelor of Science
Khulna University, Bangladesh
Environmental Science

Major in Geoinformatics, Remote Sensing & Hydrogeology

Let's Connect

Interested in collaboration, research opportunities, or satellite data services?

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