Rolf Starre is a model validator and PhD candidate in artificial intelligence with 11 years of software and research experience, combining deep learning, pattern recognition and rigorous software testing. He holds dual master’s and bachelor’s degrees in computer science and human movement sciences, a background that informs his interdisciplinary approach to real-world ML problems. At TU Delft he built scalable automated grading systems and supported courses across complexity theory and big data, while in industry he has applied his developer and QA skills at We Connect NL and on the JabRef open-source project improving Java test infrastructure. Now working in model validation at ABN AMRO, he blends academic rigor and practical engineering to assess and harden ML models for production risk environments. Colleagues describe him as curious and creative, with a habit of translating academic insights into reliable, testable software.
11 years of coding experience
3 years of employment as a software developer
Master’s Degree Human Movement Sciences, Master’s Degree Human Movement Sciences at Vrije Universiteit Amsterdam (VU Amsterdam)
Gymnasium, Gymnasium at Stedelijk Gymnasium Leiden
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at Delft University of Technology
Desktop app for managing BibTeX and BibLaTeX (.bib) libraries
Role in this project:
QA Engineer / Test Automation Engineer
Contributions:7 commits, 4 PRs, 11 comments in 1 year
Contributions summary:Rolf primarily focused on improving the testing infrastructure for the JabRef project, a Java-based reference manager. Their commits demonstrate an understanding of unit testing within the Java ecosystem, as they address bugs and add tests for key pattern utilities. The contributions include adding and modifying test cases, specifically targeting features related to title formatting and key generation. Further contributions include tests for a regex formatter.
Contributions:13 PRs, 9 pushes, 11 branches in 1 year 10 months
virtual-humans
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