Peter Inglis is a software developer with 11 years' experience combining academic rigor and practical delivery in cloud-native systems, currently building prescriptive KPI analytics for renewable energy at RES. He holds a PhD in Computer Science and has taught and supervised software projects at the University of Glasgow, bringing strong technical writing, mentoring and stakeholder engagement skills. His hands-on stack includes Python data analysis, Azure, Docker, Terraform and both AWS and Azure architecture experience from open-source and commercial work. An active contributor to mapping and 3D-model tooling, he improved backend 3D generation logic for the OSM2World project, reflecting an appetite for spatial and big-data problems. He pairs research-grade attention to detail with a practical focus on MVPs and production-ready tooling across energy, privacy compliance and academic research.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Glasgow School of Computing Science
converter that creates three-dimensional models of the world from OpenStreetMap data
Role in this project:
Back-end Developer
Contributions:17 commits, 4 PRs, 6 comments in 11 months
Contributions summary:Peter primarily contributed to the backend logic of the `osm2world` project, focusing on improving the accuracy and features of the 3D model generation. They addressed issues related to surface triangulation, material handling, and the representation of specific OpenStreetMap features like bridges, tunnels, and barriers. The user also modified the code to support new OSM tags and optimize the output format for 3D model rendering.
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