How a professional musician learned Python and transitioned into the music tech industry.

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In this podcast episode, I had the privilege to interview Moritz Schaller: a professional musician who turned programmer and successfully transitioned into a software engineering position.

Moritz is a colleague of mine from Loudly GmbH. Not only is he a skilled and smart programmer but also a great person who is extremely likeable.

I am sure that if you are considering a change in your career paths, Moritz’s story and tips will provide you with inspiration and guidance on how to do this.

And if you’re looking for a simple checklist on what is needed to start writing code to process sound, download my free audio plugin developer checklist!

Note: if you like the podcast so far, please, go to Apple Podcasts and leave me a review there. It will benefit both sides: more reviews mean a broader reach on Apple Podcasts and feedback can help me to improve the show and provide better quality content to you. Thank you for doing this.

Episode Contents

In this podcast episode, you will learn:

  • how to transition to a programming job as a musician,
  • how the knowledge of music can help you in programming,
  • what are the unique characteristics that musicians can bring to tech companies,
  • how powerful Python is for automating tasks on a computer,
  • how does living and working in Berlin feel like.

Referenced Resources

Below are all the people, places, and technologies mentioned in the podcast episode.


  1. Moritz Schaller
    1. Email address:
    2. Facebook
    3. Website
    4. LinkedIn
  2. Felipe Salas Sandoval, Senior Music Producer at Loudly GmbH
    1. on Instagram
    2. Composer profile on Spotify


  1. Loudly GmbH in Berlin. Its products:
    1. Music Maker JAM
    2. Soundtracks
  2. Hochschule für Musik und Theater “Felix Mendelssohn Bartholdy” Leipzig
  3. Technische Universität Dresden


  1. Git
  2. Python
  3. Python libraries / frameworks
    1. pytorch
    2. tensorflow
    3. tkinter
    4. numpy
    5. pandas
    6. librosa
    7. matplotlib
    8. seaborn
    9. scikit learn
    10. Flask
    11. FastAPI

Thank you for listening!