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PondiB/README.md

Hi there, I’m Brian Pondi — Geospatial Researcher & Software Engineer

I’m a Computational Geographer specializing in the design and development of geospatial machine-learning (ML) backend systems that create real-world impact. My work sits at the intersection of Earth Observation, scalable data infrastructures, and reproducible ML workflows.

Currently, I’m a Researcher at the Institute for Geoinformatics (IfGI), University of Münster, Germany, working on the EU-funded Open Earth Monitor Cyberinfrastructure project. In parallel, I’m pursuing a PhD in Geoinformatics, focusing on machine-learning reproducibility and interoperability for Earth Observation data cubes, under the advisement of Prof. Edzer Pebesma.

Research interests & skills include:

  • 🌍 Earth Observation & Data Cubes
  • 🤖 Geospatial Machine Learning & AI
  • 🧩 Reproducible & Interoperable ML workflows
  • 🗺️ Spatial data infrastructures & cloud-native geospatial systems
  • ⚙️ Backend engineering for geospatial applications

I’m always open to collaborations, research discussions, and new challenges—feel free to reach out! 😊

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  1. Open-Earth-Monitor/openeocraft Open-Earth-Monitor/openeocraft Public

    OpenEO generic R backend that can use stars, terra, sits, gdalcubes, etc

    R 2 2

  2. openeo-processes openeo-processes Public

    Forked from Open-EO/openeo-processes

    Interoperable processes for openEO's big Earth observation cloud processing.

    HTML 2

  3. openeocubes openeocubes Public

    A lightweight R-based RESTful service to analyze Earth Observation data cubes in the cloud.

    R 34 11

  4. From-0-to-Research-Scientist-resources-guide From-0-to-Research-Scientist-resources-guide Public

    Forked from ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide

    Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.