Paul Crane

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

Employment

Principal Architect

Diffblue, March 2019 - present

Lecturer (fixed term)

Computer Science Department, University of Otago, January 2018 - November 2018

Software Engineer (Contract)

Downer Group, March 2017 - December 2017

Technical Skills

Java, Python, Unit Testing, Agile Methodologies, Code Reviews, Architecture design

Go, Docker, Git, CI/CD, Django, Flask, SQL, REST APIs, MQTT

Research Projects

Education

PhD

Computer Science, University of Otago, 2017

An Indoor Localisation System Based on Ubiquitous Technology

M.Sc. (Thesis Only) with Credit

Information Science, University of Otago, 2011

Beacon - A Rapidly Deployable Cellphone Network

Patents

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.

Presentations

P. Crane. “Agentic AI-driven unit test generation you can trust” [Conference Presentation]. Devoxx UK, London, UK, May 2025.

Publications

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.