Can Ince

Founding Audio Software Engineer at Mozart AI

London, England, United Kingdom
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Summary

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Senior
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Can Ince is a founding audio software engineer with a decade of experience building real-time audio processing systems and musical instruments, now leading audio development at Mozart AI from London. He has driven core audio stack architecture and shipped production features at companies including Image-Line (FL Studio), SKR Audio Labs, and Arpeggi Labs, blending deep DSP knowledge with pragmatic engineering. Educated in computer science and music technology, he bridges algorithmic audio research with user-facing instrument design. Known as a programmer and instrument designer on GitHub, he combines hands-on coding with product instincts to make music creation more immediate and expressive. An understated strength is his track record of moving between R&D and product teams, turning prototypical audio ideas into scalable, studio-ready software.
code10 years of coding experience
job8 years of employment as a software developer
bookMaster of Arts - MA Music Technology, Master of Arts - MA Music Technology at The University of Huddersfield
bookBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Sabanci University
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Github Skills (115)

magenta10
cpp10
haskell10
javascript10
pattern10
node-canvas10
audio10
generative-art10
music10
mobx10
audio-processing10
draggable10
grid-layout10
supercollider10
juce10

Programming languages (10)

TypeScriptC++SuperColliderCRustJavaScriptHaskellNSIS

Github contributions (5)

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inceio/Siren

Feb 2018 - Mar 2018

Contributions:15 commits, 1 PR, 8 pushes in 1 month
compositionalgorithmic-compositionalgorithmic
cannc4/choc

May 2023 - Apr 2026

A collection of header only classes, permissively licensed, to provide basic useful tasks with the bare-minimum of dependencies.
Contributions:2 PRs, 41 pushes, 2 branches in 2 years 11 months
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