Summary
Paul W is a geomatics and data-focused software consultant and PhD candidate at the University of Calgary with over a decade of hands-on engineering experience building cloud-native, privacy-first geospatial and ML systems. He blends lived experience with disability, classical arts training, and deep technical breadth—spanning GIS, computer vision, LIDAR, semantic web/knowledge graphs, and polyglot backend/DevOps—to design inclusive, data-sovereign solutions for cities and communities. His academic work pioneers privacy-respecting, open-source methods for community-driven scenario mapping and has directly supported substantial grant success for his lab. Equally comfortable drafting $500k contracts or implementing YOLO-based analytics in Dockerized HPC, he prioritizes ethical, accessible architectures and reproducible research workflows. Known for bridging qualitative thematic analysis with scalable data engineering, he offers contract engagements in geomatics, ML/LLM infrastructure, and system design with an emphasis on self-hosted, non-proprietary stacks.
12 years of coding experience
11 years of employment as a software developer
Masters, Information Technology, Masters, Information Technology at Rochester Institute of Technology
Doctor of Philosophy - PhD, Geography, Doctor of Philosophy - PhD, Geography at University of Calgary
English, Spanish, Portuguese, French