Paul Aschmann
Software Engineering Manager at SAP
Belmont, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolPaul Aschmann is a hands-on software engineering manager with over two decades of experience building and scaling enterprise web and mobile solutions, currently leading a portfolio of 30+ applications for SAP’s 120,000+ employees. He blends technical depth—having contributed to open-source projects like Rasa (NLU/API improvements) and a Rasa UI frontend—with strategic product leadership in mobile, Vision Pro, and Gen-AI integrations. Known for driving measurable outcomes, he uses data-driven metrics such as DORA to prioritize investments and improve delivery performance. Paul has strong operational chops from leading global application teams, ERP and production-critical systems, and directing successful cloud and high-availability architectures. He combines startup founder grit (a prior consumer app exit with millions of users) with large-enterprise governance and SAFe/Agile practice. Based in Belmont, NC, he pairs mentoring and team-building with a pragmatic focus on user-centric, revenue-driving software.
12 years of coding experience
22 years of employment as a software developer
Master of Business Administration - MBA, Master of Business Administration - MBA at UNC Charlotte Belk College of BusinessBachelors of Technology (Hons) Information Systems, Bachelors of Technology (Hons) Information Systems at Nelson Mandela University
German, English
Github Skills (18)
javascript10
pytest10
bootstrap10
python10
apidoc10
testing10
css10
api10
rasa10
html10
bootstra10
nlp10
angular10
nodejs9
chatbot9
Programming languages (5)
Github contributions (5)
paschmann/rasa-ui
May 2017 - Jun 2020
Rasa UI is a frontend for the Rasa Framework
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:5 releases, 119 commits, 17 PRs in 3 years 1 month
Contributions summary:Paul primarily contributed to the frontend of the Rasa UI, focusing on enhancing features and improving the user interface. They implemented entity highlighting within the intent editing screen, modified the training screen, and updated the chat interface. Additionally, the user made adjustments to the logging and settings components and also updated the underlying Bootstrap library. These changes suggest a focus on both user experience and functional improvements within the Rasa UI frontend framework.
nlprasa-nlunlurasamanage-bots
RasaHQ/rasa
Apr 2017 - Aug 2018
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Role in this project:Backend & DevOps Engineer
Backend & DevOps EngineerContributions:13 commits, 5 PRs, 12 comments in 1 year 4 months
Contributions summary:Paul primarily focused on expanding the Rasa NLU API and associated testing, implementing new endpoints for configuration, version information, and server logs. They refined the existing API by removing elements like the "T" option in `isoformat()`. Additionally, the user updated and documented API endpoints, and removed a previously added server log function, also updating and adding tests. This work showcases API development, testing, and maintenance.
nlupythonbotspeech-recognitionbotkit
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