Zygmunt Szpak
Executive Director at Australian Institute for Machine Learning (AIML)
Greater Adelaide Area Australia
Summary
👤
Senior🎓
Top SchoolZygmunt Szpak is an executive director and machine learning researcher with a PhD in Computer Science from the University of Adelaide and over a decade of experience translating computer vision and AI research into industry-grade products. He co-founded Insight Via Artificial Intelligence to help organisations progress across the full AI adoption lifecycle, leveraging deep domain experience gained at the Australian Centre for Visual Technologies and the Australian Institute for Machine Learning. His work spans geospatial analytics, automated video object detection and scalable classification of massive datasets, and he spearheaded the design of an innovative handheld 2D/3D wound assessment device commercialised with Labtech. An active contributor to open-source imaging tools, he implemented robust sub-pixel corner detection and extensive testing for the JuliaImages/Images.jl library, underscoring his emphasis on reliability and reproducibility. Combining academic leadership as an adjunct senior lecturer with practical product delivery, he brings a rare mix of rigorous research, hands-on engineering, and commercialisation experience. Notably, his MIT Sloan certificate in AI for business strategy complements his technical background with a strong focus on pragmatic organisational adoption.
10 years of coding experience
5 years of employment as a software developer
Certificate, Artificial Intelligence: Implications for Business Strategy, Certificate, Artificial Intelligence: Implications for Business Strategy at MIT Sloan School of ManagementDoctor of Philosophy - PhD, Computer Science, Deans Commendation, Doctor of Philosophy - PhD, Computer Science, Deans Commendation at The University of AdelaideMaster of Science - MSc, Computer Science, Cum Laude, Master of Science - MSc, Computer Science, Cum Laude at The University of KwaZulu-Natal
Github Skills (8)
unit-testing10
image-processing10
julia10
test-automation9
data-structure9
algorithm9
data-structures9
algorithms9
Programming languages (6)
Github contributions (5)
JuliaImages/Images.jl
Dec 2017 - Feb 2020
An image library for Julia
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:27 commits, 25 PRs, 16 pushes in 2 years 2 months
Contributions summary:Zygmunt primarily contributed to the image processing library by adding and improving functionalities related to image corner detection. They implemented sub-pixel corner detection capabilities, introducing new functions and associated support functions. Moreover, they focused on testing the corner detection API and sub-pixel API, adding extensive unit tests to validate the functionality, demonstrating a strong focus on ensuring the library's reliability and correctness. This included testing with OffsetArrays, demonstrating a focus on code robustness.
image-libraryimage-processingjulia
zygmuntszpak/ImageComponentAnalysis.jl
Jan 2019 - Oct 2021
Contributions:59 commits, 40 PRs, 67 pushes in 2 years 9 months
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