Steefan Contractor
Data Scientist And AI Engineer
Sydney, New South Wales, Australia
Summary
👤
Senior🎓
Top SchoolSteefan Contractor is a data scientist and AI engineer with 11 years’ experience applying hybrid deep probabilistic models to real-world spatiotemporal problems in climate, oceanography, and remote sensing. Based at UNSW’s School of Mathematics & Statistics and now also working with CounterCurrent AI, he blends deep learning, Bayesian inference, and generative modelling to create robust gap-filling, forecasting, and uncertainty-aware systems for large oceanographic and satellite datasets. His PhD produced REGEN, a globally gridded daily precipitation dataset and non-parametric tools for detecting distributional changes, demonstrating his strength in building reproducible, high-impact scientific datasets and methods. He has delivered end-to-end pipelines and real-time visualization tools (including Shiny apps) and developed LSTM-based temperature gap-fillers with Monte Carlo dropout to quantify uncertainty — a practical edge often missing in applied ML. Based in Sydney, he bridges academic research and industry deployment, focusing on scalable, interpretable solutions for environmental science.
11 years of coding experience
2 years of employment as a software developer
UNSW Sydney
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
azerothcore7
shiny6
server5
management5
rust1
Programming languages (3)
Github contributions (5)
SteefanContractor/academic-kickstart
Jul 2018 - May 2023
Easily create a beautiful website using Academic and Hugo
Contributions:25 pushes, 2 branches in 4 years 11 months
hugohugo-theme
SteefanContractor/SteefanContractor.github.io
Jul 2018 - Jun 2023
Contributions:23 pushes, 2 branches in 4 years 11 months
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