Philipp Schaefer
Principal Solution Architect at Amazon Web Services (AWS)
Germany
Summary
🤩
Rockstar🎓
Top SchoolPhilipp Schaefer is a Principal Solution Architect and research leader with 9 years in senior engineering and R&D leadership roles, currently at AWS after heading Siemens’ Corporate Technology research group for Big Data and AI. He combines hands-on software architecture and cloud strategy with P&L and program management experience, leading cross-functional teams of scientists, engineers and PMs on analytics for security, safety and compliance. A trained systems engineer from KIT, Philipp has deep roots in embedded and communication systems and a track record of scaling secure cloud platforms for global customers. He is an active open-source contributor—helping improve matplotlib’s date handling and enhancing FastF1’s telemetry parsing—which highlights his mix of practical data tooling and domain expertise. Known for scouting cutting-edge technologies and translating them into funded research and product growth, he bridges long-term innovation with production-grade delivery. Based in Germany, he brings a rare blend of firmware-to-cloud technical depth and strategic business leadership.
9 years of coding experience
20 years of employment as a software developer
Master's Degree Systems Engineering, Master's Degree Systems Engineering at Karlsruhe Institute of Technology (KIT)
German, English, Spanish
Github Skills (14)
data-visualizations10
pandas10
datetime10
data-visualization10
data-visualisation10
dates10
api10
data-parsing10
python10
apidoc10
matplotlib10
data-analysis10
data-science9
testing9
Programming languages (9)
Github contributions (5)
theOehrly/Fast-F1
Apr 2020 - Jan 2023
FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry
Role in this project:
Back-end Developer
Back-end DeveloperContributions:69 releases, 108 reviews, 473 commits in 2 years 9 months
Contributions summary:Philipp primarily contributed to the development of the fast-f1 package, making changes to core and API modules. Their work focused on refining the code for better readability and functionality, including overriding the default constructor property for classes and refactoring for improved code structure. They also implemented the integration of weather and track status data, and they worked on improving the accuracy of data parsing.
analyzingpythonformula-1schedulesmotorsport
matplotlib/matplotlib
Jan 2021 - May 2021
matplotlib: plotting with Python
Role in this project:Back-end Developer
Back-end DeveloperContributions:12 reviews, 7 commits, 2 PRs in 3 months
Contributions summary:Philipp focused on improving the date and time handling capabilities within the matplotlib library. Their contributions included refactoring the `YearLocator` class to be a subclass of `RRuleLocator`, enhancing the `RRuleLocator` to handle date calculations more effectively, and adding tests to validate these improvements. The user also updated documentation to reflect the changes made. The core focus of the work was on improving the date-related functionalities of the library.
pythondata-sciencegtkdata-visualizationplotting
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