Dan leads solution architecture at Bitruvius, turning the format and codec stack into real-world imagery, 3D, and AI workflows for customers and partners.
At Rendered.ai he was Lead Solutions Engineer and Architect for customers ranging from AI startups to the Fortune 500 and government agencies, defined best practices for synthetic data and machine-learning training, and led the team that won the 2023 NSIN SynGen challenge.
Earlier, as a 3D product engineer at Esri, Dan built the user-facing workflows behind the 3D Basemap and Development Impact Solutions, developed the framework for ArcGIS Urban, and pioneered automated feature extraction using deep-learning segmentation. He is also active in the Open Geospatial Consortium, where he led machine-learning and analysis-ready-data initiatives for Testbed-19.
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