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David W

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Geospatial AI Architect/Developer at **Independent Sabbatical** — Self-directed
📍 Houston, Texas, United States

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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Experience
14 Years
Current Role
Geospatial AI Architect/Developer
Location
Houston, Texas, United States
Personality Overview

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Priorities

Topics David cares about

Geospatial AI
His core expertise involves blending AI, cloud services, and Python to solve complex challenges with subsurface and spatio-temporal datasets.
Cloud & IoT Pipelines
He recently built a ready-to-scale, real-time IoT pipeline on AWS to stream sensor data from edge devices to a live web dashboard.
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Career

Work history

6-2024
Geospatial AI Architect/Developer
**Independent Sabbatical** — Self-directed
1-2001 - 1-2014
Senior Technical Staff
Landmark Graphaics Corporation
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Education
Master of Engineering - MEng
The University of Texas at Austin
Social presence
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Behavioral profile

DISC profile (public)

DISC behavioral profile

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