Peter Kongstad is a Senior Remote Sensing Specialist and Geospatial Data Engineer with eight years of experience building production-grade satellite data systems for agriculture at Agreena. He designs STAC-native, containerized pipelines on AWS, orchestrates distributed compute with Ray, and implements ML/LLM-enabled analytics that fuse Sentinel, Landsat, LiDAR and ground truth into operational monitoring products. His background in geoscience and hands-on roles—from CubeSat assembly to international geophysics projects—gives him a rare blend of field experience and scalable cloud engineering. He also develops rotation-bias-corrected productivity methodologies and interactive visualization tools that translate complex multi-modal data into actionable insights for agronomy. Colleagues rely on him to turn experimental R&D prototypes into reliable APIs and dashboards used in production.
8 years of coding experience
10 years of employment as a software developer
Digital Media Digital design graphics production marketing, Digital Media Digital design graphics production marketing at Syddansk Erhvervsskole
Personal Trainer, Personal Trainer at Fitness World Academy
Junior Class, Junior Class at Swink Highschool
Bachelor of Science - BS Geoscience, Bachelor of Science - BS Geoscience at Aarhus University
Afgangseksamen 10. klasse, Afgangseksamen 10. klasse at Pontoppidan Skolen Brobyværk
HF General College, HF General College at VUC Kolding
Github containing python code written as a part of my master thesis pipeline. Pip Freeze file for module control is listed in requirements.txt
Contributions:25 pushes, 1 branch in 3 years 7 months
python-codetxtpythonpipelinefreeze
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