Markus Quade is a CTO and machine learning practitioner with 11 years of experience bridging applied ML, data platform strategy, and agile transformation for clients from research to production. Based in Berlin, he combines hands-on roles—product owner, solution architect, and agile coach—with technology leadership and hiring responsibility at Ambrosys. His background includes PhD-level physics research, a DAAD-funded research stint at the University of Washington on sparse regression, and building ML-driven forecasting and MLOps platforms for the energy sector. Markus is also an active contributor to open-source usability, improving documentation and developer experience for projects like pysindy, highlighting a focus on making complex tools accessible. Known for translating academic rigor into pragmatic engineering and product outcomes, he thrives at the intersection of research, operations, and team culture.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Theoretische Physik, Doctor of Philosophy - PhD Theoretische Physik at University of Potsdam
A package for the sparse identification of nonlinear dynamical systems from data
Role in this project:
Technical Writer / Documentation Specialist
Contributions:2 releases, 1 review, 41 commits in 8 months
Contributions summary:Markus focused on improving the project's documentation and usability. They fixed badge links within the README file, ensuring proper linking to build status and documentation. Further contributions involved adding a Sphinx skeleton, updating the documentation structure, and correcting warnings to enhance the clarity and completeness of the project's documentation. These changes improve the accessibility of the project and overall developer experience.
Contributions:49 commits, 4 PRs, 40 pushes in 2 years 4 months
txtlintervalidationvalidatorrequirements-txt
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