Career Profile

I enjoy creating innovative IT solutions to provide the best earth observation data at scale, aiming to preserve biodiversity and restore the environment. At DevelopmentSeed, I’m working on data pipelines to convert and publish Sentinel data as web-optimized zarr / geozarr for the ESA Earth Observation Processing Framework. Previously, I was a Product Architect at Space Intelligence, developing ML workflows for land cover and biomass products. I helped scale the technical architecture as the team grew from five to over sixty. Prior to that, I was the technical lead on satellite-data projects at a Water and IT firm.

Experiences

Geospatial Data Engineer

2025 - now
DevelopmentSeed, Contractor, Remote

Contributing to the ESA Copernicus Earth Observation Processing Framework.

Product Architect

2020 - 2025
Space Intelligence, Edinburgh, UK

Developer on the Product Engineering Team, providing end-to-end ML environments for data scientists. I facilitated agile ceremonies, collaborated with the Data Platform Team to optimise pipelines and batch computing environments that provide high-quality map data, and worked alongside the Solutions Team to generate valuable insights for clients.

Project Highlight: Developed land cover and biomass data for Apple’s Restore Fund. I visited Apple’s HQ in Cupertino, CA and presented our CarbonMapper biomass product at Apple’s ML conference in 2023.

GIS Specialist

2016 - 2020
Nelen & Schuurmans, Utrecht, Netherlands

Technical lead in multiple international development projects establishing data integration flows for operational information services.

For example, I connected soil moisture data from VanDerSat - acquired by Planet in 2021 - into a mobile app for pepper farmers in SpiceUp Indonesia.

Led an internal group of developer-oriented consultants to gain foundational software and data engineering skills.

Open Source Contributions

SciPy 2024 Xarray tutorial - Co-organized 4-hour workshop during SciPy 2024, where I led the session on the Xarray ecosystem.
odc-geo - Added Azure extension to save Cloud-Optimized Geotiffs in a dask-optimized manner in the odc-geo Python library (2024).
pystac-client - FOSS4G sprint contribution enabling formatted search urls in python client to query STAC APIs (2022).
dask-geomodeling - On-the-fly operations on geographical maps (2020).

Skills & Proficiency

Data Engineering - Python

Machine Learning - LightGBM, scikit-learn, XGBoost

Infrastructure as code - Terraform

Cloud platforms - AWS, Azure, GCP

Map platforms & APIs

QGIS & ArcGIS