Rany Keddo
Science Lead For Search And Recommendations
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolRany Keddo is a seasoned AI and engineering leader with 18 years of experience building production-scale ML and data systems, best known for authoring the recommender platform that drove millions of extra listening hours at SoundCloud. He blends deep research engineering in audio, TTS and music ML with hands-on product delivery—leading teams that shipped commercial voice synthesis, an open-source audio alignment library, and a cloud dubbing collaboration platform. As CEO of voicelayer and former CTO at RAIN, he couples founder-level execution with enterprise modernization experience across logistics, finance and digital trading. Rany has a track record of moving companies to cloud-native data platforms, initiating analytics practices, and turning prototypes into revenue-generating products. Based in Berlin, he combines a formal background in music with pragmatic ML engineering, often bridging signal processing, DSP and scalable ML training pipelines. Less obvious: many of his infrastructure and tooling choices (including open-sourced migration and alignment tools) were adopted by peers and downstream teams, reflecting an emphasis on reusable, production-ready engineering.
18 years of coding experience
24 years of employment as a software developer
Bachelor, Music, Bachelor, Music at University of Auckland
German, English
Github Skills (50)
speech10
python9
natural-language-processing9
huggingface9
audio9
cli9
nlp9
speech-recognition8
char7
http-api5
pytorch5
nearest-neighbors4
trainer4
rails4
machine-learning4
Programming languages (8)
Github contributions (5)
jkrall/workling
Jun 2008 - Jan 2009
easily do background work in rails, without commiting to a particular runner. comes with starling, bj and spawn runners.
Contributions:59 commits in 8 months
rails
feldberlin/wavenet
Oct 2020 - Apr 2022
An unconditioned Wavenet implementation with fast generation.
Contributions:217 commits, 19 PRs, 233 pushes in 1 year 6 months
pytorchwavenetdeep-learningpytorch-implementation
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.