Alexandros Metsai
Senior Machine Learning Scientist at Ringier AG
Zurich, Zurich, Switzerland
Summary
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Senior🎓
Top SchoolAlexandros Metsai is a Senior Machine Learning Scientist in Zurich with close to nine years of experience building and deploying large-scale ML systems for millions of users. He began in deep learning research with publications at international conferences and journals, and now translates that research into production-grade software that can be deployed in the cloud. In his current role at Ringier AG (since 2024) he designs, refines, and trains ML algorithms and develops production software to operationalize models for fast, reliable deployment, including solutions used by news professionals and the human rights office. His career spans CERTH, MyCompany Projects, and Ringier AG, and he holds a Master of Engineering in Computer Engineering from AUTH in Greece. An active open-source contributor with notable work documenting the librosa library for audio analysis, he combines clarity in communication with hands-on technical depth.
9 years of coding experience
5 years of employment as a software developer
Master of Engineering - MEng, Computer Engineering, Master of Engineering - MEng, Computer Engineering at Aristotle University of Thessaloniki (AUTH)
Greek, Albanian, English
Github Skills (11)
documentations10
librosa10
audio-analysis10
python10
documentation10
matplotlib10
music7
digital-signal-processing7
signal-processing7
signalprocessing7
scipy6
Programming languages (7)
Github contributions (5)
librosa/librosa
May 2019 - May 2019
Python library for audio and music analysis
Role in this project:
Technical Writer
Technical WriterContributions:38 commits, 3 PRs, 8 comments in 1 day
Contributions summary:Alexandros's contributions primarily focused on adding plot examples to the documentation within the librosa library. These examples demonstrate the usage of various librosa functions, covering a wide range of audio analysis techniques. By incorporating `plt.show()` in numerous example code blocks across different modules, the user enhanced the documentation by enabling immediate visualization and understanding of the functions' outputs. This directly improves the usability and educational value of the library's documentation.
python-librarydtwpythonlibrosaaudio
AlexMetsai/parallel-distributed-systems
Mar 2016 - May 2019
Contributions:1 release, 11 pushes, 1 branch in 3 years 2 months
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