Career Profile
Ten years connecting Earth observation data to environmental impact - from a carbon sequestration thesis to production ML pipelines to climate AI. Active open-source contributor to GDAL’s Zarr v3 driver. Previously built GeoZarr pipelines for ESA’s Earth Observation Processing Framework at DevelopmentSeed, and spent five years as Product Architect at Space Intelligence, where I co-designed the technical architecture that scaled from a five-person startup to a sixty-person company shipping global land cover and biomass products.
Experiences
Drive data engineering in AI applications related to climate change, sustainability and biodiversity.
Open-source contributions to GeoZarr data pipelines and data models for the ESA Copernicus Earth Observation Processing Framework (EOPF). Also contributed to the platform’s Kubernetes/FluxCD deployment infrastructure.
Co-authored the standardized project template and Python library powering all land cover and biomass map products. Designed ML pipelines (Random Forest, LightGBM) on Dask/Zarr/COG with Azure and AWS infrastructure (Terraform). Scaled the technical architecture as the team grew from five to over sixty.
Project Highlight: Developed land cover and biomass data for Apple’s Restore Fund. Presented our CarbonMapper biomass product at Apple’s ML conference in Cupertino, CA (2023).
Technical lead on international development projects building data integration flows - e.g. connecting VanDerSat (now Planet) soil moisture data into a mobile app for pepper farmers in Indonesia.
Led an internal group of developer-oriented consultants in foundational software and data engineering skills.