Ole Nielsen

Director. Digital Products And Services, Design And Technology at NSW Department of Customer Service

Canberra, Australia
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
Ole Nielsen is a seasoned digital products and technology leader with 19 years of experience delivering high‑impact, user-focused solutions across government and scientific organisations. He has driven organisational transformation and DevOps adoption to rapidly produce scalable data platforms and reproducible scientific pipelines—cutting processing times from weeks to hours and enabling whole-of-government analytics. His background blends a PhD in scientific computing with hands-on leadership of multidisciplinary teams that restructured around products rather than silos, and he has pioneered cloud automation, HPC and agile planning in domains from tsunami and hazard modelling to citizen services. Currently directing design and technology at Revenue NSW, he combines customer experience, continuous delivery and an evidence-based approach to unlock measurable public value.
code20 years of coding experience
job16 years of employment as a software developer
bookStudent, math - biology, Student, math - biology at Koege Gymnasium
bookTechnical University of Denmark
bookMSc, Mathematics and Computer Science, MSc, Mathematics and Computer Science at Roskilde University
languagesDanish
stackoverflow-logo

Stackoverflow

Stats
225reputation
24kreached
1answer
0questions
github-logo-circle

Github Skills (27)

simulation10
flooding10
python10
qgis10
mpi9
message-passing9
gis8
big-data8
insar7
geodesy7
django7
pep6
sdi6
geoscience6
geospatial5

Programming languages (2)

JavaScriptPython

Github contributions (5)

github-logo-circle
uniomni/video_processing

Apr 2019 - Jun 2025

Contributions:18 pushes, 1 branch in 6 years 3 months
daleroberts/pypar

Jun 2007 - Jul 2013

Efficient and scalable parallelism using the message passing interface (MPI) to handle big data and highly computational problems.
Contributions:114 commits in 6 years 1 month
big-datamessage-passingmpimap-reducepython
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial