José Padarian
Research Associate
Sydney, New South Wales, Australia
Summary
👤
Senior🎓
Top SchoolJosé Padarian is a research-focused data scientist and spatial analytics specialist with 11 years of experience applying machine learning, deep learning and geoinformatics to environmental and agricultural problems. Based at the University of Sydney and holding a PhD in Soil Sciences, he has built end-to-end pipelines for satellite imagery and sampling-optimised mapping algorithms using Python and Julia to support soil carbon, crop monitoring and air quality projects. His background spans academia and industry—from Flowminder and FluroSat to Carbon Count and Perennial—demonstrating a knack for turning complex spatial models into reproducible, production-capable code. Notably, he blends rigorous field-based soil science expertise with practical computational skills, enabling methods that are both scientifically robust and operationally deployable.
11 years of coding experience
6 years of employment as a software developer
The University of SydneyBachelor of Science (BS) Agricultural Engineering, Bachelor of Science (BS) Agricultural Engineering at Universidad de Chile
Spanish, English
Stackoverflow
1,604reputation
118kreached
63answers
0questions
Github Skills (114)
apache-spark10
python10
gdal10
model-management10
h310
django10
mlflow10
ai10
dvc10
lifecycle10
incremental-learning10
machine-learning10
geospatial10
insert10
orm10
Programming languages (10)
Github contributions (5)
spadarian/jupyter_ee_map
Nov 2018 - Mar 2022
Contributions:5 commits, 3 pushes, 1 branch in 3 years 4 months
spadarian/gdal
Jan 2021 - Dec 2023
Rust bindings for GDAL
Contributions:1 PR, 23 pushes, 8 branches in 2 years 11 months
rustrust-bindingspyo3gdal
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.