Martin Schulz-scheepers
Sales Specialist at Webex
Heidelberg, Baden-Württemberg, Germany
Summary
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Rockstar🎓
Top SchoolMartin Schulz-scheepers is a Sales Specialist with over two decades of experience in software, consulting and SaaS go-to-market strategy, currently focusing on Webex cloud services across messaging, meetings and calling. He blends deep technical grounding—from early roles as a CCSI trainer and network consultant to technical marketing for immersive TelePresence—with customer-facing sales and business development across EMEA. Known for crafting recurring-revenue strategies, he helped introduce enterprise social and unified collaboration products at Cisco/Webex. Outside sales, Martin contributes to open-source neurotech tooling—improving documentation and bug fixes for the widely used MNE-Python MEG/EEG library—demonstrating a rare combination of clinical-science interest and practical software craftsmanship. Based in Heidelberg, he brings a hands-on, technical credibility that helps bridge complex product portfolios and enterprise buyers.
7 years of coding experience
6 years of employment as a software developer
Diplom-Ingenieur, Information Technology, Diplom-Ingenieur, Information Technology at Freie Universität Berlin
English
Github Skills (11)
python10
documentation10
neuroscience9
el8
ec8
ceph8
n8
visualizations7
git7
visualization7
testing6
Programming languages (3)
Github contributions (5)
mne-tools/mne-python
Aug 2020 - May 2022
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Role in this project:
Technical Writer & Software Engineer (Documentation & Bug Fixes)
Technical Writer & Software Engineer (Documentation & Bug Fixes)Contributions:97 reviews, 24 commits, 26 PRs in 1 year 9 months
Contributions summary:Martin primarily contributed to improving the documentation and fixing minor bugs within the MNE-Python repository. Their work included correcting inconsistencies in the documentation for core methods like `crop` in `BaseEpochs` and `Evoked`, as well as adding installation instructions for GNU Make on Windows. Additionally, the user addressed issues such as incorrect channel adjacency matrices and fixed the display of vertical lines in the raw/epochs plot. Their contributions focused on enhancing the user experience and ensuring the accuracy of the library's documentation.
visualizationneuroimagingneurosciencepythonstatistics
marsipu/gsoc2021
May 2021 - May 2022
Prototypes, Progress Tracking and Discussion for my project at Google Summer of Code 2021
Contributions:1 PR, 162 pushes, 2 branches in 1 year
googleprototypestrackinggoogle-summer-of-codesummer
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