Hands-on software architect interested in solving hard problems, delivering value, and pushing technical boundaries.
[email protected] https://paul.crane.net.nz https://github.com/pcrane/ https://www.linkedin.com/in/paulscrane/ PDF
Diffblue, March 2019 - present
Computer Science Department, University of Otago, January 2018 - November 2018
Downer Group, March 2017 - December 2017
Java, Python, Unit Testing, Agile Methodologies, Code Reviews, Architecture design
Go, Docker, Git, CI/CD, Django, Flask, SQL, REST APIs, MQTT
Computer Science, University of Otago, 2017
An Indoor Localisation System Based on Ubiquitous Technology
Information Science, University of Otago, 2011
Beacon - A Rapidly Deployable Cellphone Network
P. Crane, J. Kloos, and R. Brenguier. System and Method for Program State Relevancy Assessment. (U.S. Patent No 19/056,623). Filed February 2024.
P. Crane. “Agentic AI-driven unit test generation you can trust” [Conference Presentation]. Devoxx UK, London, UK, May 2025.
P. Crane, Z. Huang, and H. Zhang. “CRAFT: Reducing the Effort for Indoor Localisation”. In: 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE, Montreal, Canada, October 2017, DOI: 10.1109/PIMRC.2017.8292211.
P. Crane, Z. Huang, and H. Zhang. “Emender: Signal Filter for Trilateration based Indoor Localisation”. In: 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE, 2016, pages 1-6, DOI: 10.1109/PIMRC.2016.7794742.
P. Crane, Z. Huang, and H. Zhang. “SIB: Noise Reduction in Fingerprint-based Indoor Localisation using Multiple Transmission Powers”. In: Proceedings of the 13th International Conference on Mobile and Ubiquitous Multimedia. ACM, 2014, pages 208-211, DOI: 10.1145/2677972.2678000.