May 2024 – Feb 2025 · 9 mos

• Took full ownership of major components of our DevRel/DX work:
• Led the development of our Python SDK
• Led the development of our API docs
• Contributed integrations for several popular Open Source libraries
• Helped grow AssemblyAI's YouTube channel from 0 to 130K subscribers
• Grew AssemblyAI's Twitter account from 0 to 35K followers
• Wrote technical blog posts

Feb 2022 – Jun 2024 · 2 yrs 4 mos

• Educating developers about AI.
• Read about my first year:

Nov 2019 – Feb 2022 · 2 yrs 3 mos · Berlin

• Writing production code in C++ and Python for the Visage Imaging Platform.
• Develop workflow components, stable interfaces, and intuitive user interfaces
• Involved in specification and implementation of the software components in an agile software development environment
• Develop advanced functionality for client-server PACS product line
• Cross-platform application development with Qt
• Implementation of fast medical data processing algorithms

Jul 2019 – Present · 6 yrs 8 mos

• Instructor & Content Creator:
• Teaching Python and Machine Learning
• Growing a community of developers (200K+ on YouTube, 45K+ on Twitter)
• Writing blog posts on python-engineer.com

Jul 2017 – Nov 2019 · 2 yrs 4 mos · Nürnberg und Umgebung, Deutschland

• Software development for clinical applications, focused on image segmentation, registration, and visualization, mainly C++ & Python.

May 2016 – Oct 2016 · 5 mos · Forchheim, Germany

• Development and implementation of new MeVisLab prototypes for clinical software applications.
• I worked on several prototypes for rib segmentation, Perfusion CT evaluation, and stroke imaging.
• My tasks included:
• Implementation of MeVisLab networks for image post-processing and visualization
• Implementation of own image processing algorithms in C++
• Interface design and implementation in Python and MeVisLab

Oct 2015 – Mar 2016 · 5 mos

• My tasks included:
• Development, implementation and evaluation of algorithms to register temporal CT series using a block-matching approach in C++
• Development, implementation and evaluation of algorithms to detect coronary calcifications in CT images using a machine learning approach
• Supporting a group of scientists with writing Python modules
• Maintenance and enhancements of a clinical tool for reading and annotating medical data in C#

Apr 2014 – Sep 2015 · 1 yr 5 mos

• Development and implementation of new MeVisLab prototypes for clinical software applications.
• I worked on several prototypes for rib segmentation, Perfusion CT evaluation, and stroke imaging.
• My tasks included:
• Implementation of MeVisLab networks for image post-processing and visualization
• Implementation of own image processing algorithms in C++
• Interface design and implementation in Python and MeVisLab

Feb 2013 – Mar 2013 · 1 mo · Erlangen, Germany

• Internship in the Institute of Rediology to learn about medical imaging devices and the clinical workflow.