David is a Geospatial AI Architect specializing in energy sector data. With a Masters from The University of Texas at Austin, he builds full-stack, cloud-native solutions using Python and AWS. His expertise includes creating 3D data visualizations, real-time IoT pipelines, and applying AI to complex subsurface challenges from his time at major energy companies.
His passion for technology drives him to tackle numerous self-directed projects, exploring everything from edge AI to real-time data streaming. He actively builds and showcases these advanced applications, demonstrating a deep commitment to hands-on learning and pushing the boundaries of geospatial data science outside of a traditional work environment.
He is currently prototyping systems that use Large Language Models (LLMs) to run natural language queries on complex petro-technical databases.
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