Florian Schaefer is a senior customer success leader and former solutions engineer with a PhD in Electrical Engineering and an MBA, combining nine years of hands-on technical depth in AI robotics, power systems, and SaaS with strategic customer-facing leadership across Europe. He has led high-stakes AI robotics deployments and strategic partnerships (notably with the Otto Group), built and scaled customer success teams, and driven cross-functional alignment from operations to C-level stakeholders. Equally at home in code and boardrooms, he co-created the popular open-source power-system tool pandapower and contributed backend fixes that improved core modeling modules. Florian’s background in energy systems, cybersecurity, and industry 4.0 gives him a rare ability to translate complex technical constraints into measurable business outcomes. Based in Krefeld, Germany, he’s known for blending curiosity-driven engineering rigor with pragmatic commercial strategy to accelerate adoption and operational excellence.
9 years of coding experience
11 years of employment as a software developer
Master of Business Administration - MBA Science and Management Program, Master of Business Administration - MBA Science and Management Program at Collège des Ingénieurs
Master of Science Electrical Engineering Information Technology and Computer Engineering, Master of Science Electrical Engineering Information Technology and Computer Engineering at RWTH Aachen University
Dr.-Ing. (Ph.D.) Electrical Engineering and Computer Science, Dr.-Ing. (Ph.D.) Electrical Engineering and Computer Science at University of Kassel
Convenient Power System Modelling and Analysis based on PYPOWER and pandas
Role in this project:
Back-end Developer
Contributions:2 releases, 587 commits, 132 PRs in 3 years 9 months
Contributions summary:Florian was primarily involved in addressing bugs and implementing fixes within the project's codebase, as evidenced by the commit messages that focus on "gen lookups fixes" and "code cleanup." The user appears to have been working on the build_gen, pd2ppc, and results modules, which point to a focus on the project's back-end power system modeling and analysis functionality. The edits to files within the pandapower directory suggest expertise within this domain.
Convenient Power System Modelling and Analysis based on PYPOWER and pandas
Contributions:210 pushes, 9 branches in 2 years
pythonsystem-modellinganalysispower-systempower
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