Marko Ristin
Research Associate
Zurich, Zurich, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolMarko Ristin is a research-focused software engineer and machine learning specialist with a PhD in Computer Vision and over a decade of experience building industry-scale cyber-physical systems and AI applications from Zurich. He leads efforts on Industry 4.0 digital twins and Digital Product Passes, translating meta-models into rigorously tested libraries using fuzzing and property-based testing, and has co-authored research grants in the 500K CHF range. His background spans academia and industry—teaching large courses, supervising theses, advising startups on scalable CV pipelines, and serving as CTO/tech lead—bringing both hands-on engineering and strategic product vision. An active contributor to open-source testing tooling, he improved CrossHair’s test automation, docs and CI practices, reflecting his focus on correctness and reproducibility beyond model accuracy. He combines deep expertise in computer vision, information systems and large-scale backend architectures with a practical knack for turning complex academic ideas into production-ready, auditable systems.
10 years of coding experience
9 years of employment as a software developer
Doktor (Ph.D.), Doktor (Ph.D.) at ETH Zürich
German, bosnisch/kroatisch/serbisch, English, Spanish, French
Stackoverflow
653reputation
809kreached
24answers
1question
Github Skills (16)
testing10
pytest10
python10
sphinx10
documentation10
flake8
blackboard8
powershell6
datetime6
static-analysis6
linebreak6
setuptools6
invariants6
scripting6
design-by-contract6
Programming languages (21)
Github contributions (5)
pschanely/CrossHair
Jan 2021 - Feb 2021
An analysis tool for Python that blurs the line between testing and type systems.
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:17 reviews, 19 commits, 21 PRs in 19 days
Contributions summary:Marko significantly contributed to the testing and documentation of the `crosshair` project. They implemented functional tests using Python and `pytest`, verified output, and ensured code coverage targets were met. The user also created a pre-commit script to automate code style checks, docstring validation, and ensured that the documentation was up-to-date with the command-line interface. Finally, the user converted documentation to Sphinx format.
dynamic-analysissymbolic-executionpythontesting-frameworksmt
aas-core-works/aas-core3.0-csharp
Mar 2023 - Sep 2024
Manipulate, verify and de/serialize asset administration shells in C#.
Contributions:8 releases, 63 PRs, 45 pushes in 1 year 6 months
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