Xavier Riley
Machine Learning Engineer at SoundPatrol
Greater Guildford Area, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolXavier Riley is a Machine Learning Engineer and AI researcher with 14 years of software experience who blends deep technical expertise in Python and Ruby with a PhD focused on AI and Music. He has led a 14-person international support team at Heroku, contributed to the Sonic Pi live coding project (improving audio handling and documentation), and published state-of-the-art models for automatic music transcription during his PhD. Comfortable across distributed systems, backend engineering and research, he applies ML to music applications—recently at Queen Mary University’s Maestro project and now at an AI music startup. Xavier’s background in music (BMus, 1st class) and hands-on open-source contributions give him a rare combination of domain knowledge, production engineering experience, and academic rigor.
14 years of coding experience
16 years of employment as a software developer
Bachelor of Music (BMus), Music, 1st Class Hons, Bachelor of Music (BMus), Music, 1st Class Hons at The University of BirminghamMaster of Science - MS, Computer Science, Distinction, Master of Science - MS, Computer Science, Distinction at Royal Holloway, University of LondonDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Queen Mary University of London
Stackoverflow
46reputation
3kreached
1answer
0questions
Github Skills (9)
audio-processing10
documentation10
ruby10
music9
live-coding9
software-design8
unit-testing6
php6
prestashop6
Programming languages (16)
Github contributions (5)
sonic-pi-net/sonic-pi
May 2014 - Nov 2020
Code. Music. Live.
Role in this project:
Back-end Developer & Documentation Specialist
Back-end Developer & Documentation SpecialistContributions:110 commits, 69 PRs, 4 pushes in 6 years 6 months
Contributions summary:Xavier contributed to the Sonic Pi project by documenting and improving existing functionality. Primarily, the user added documentation for methods related to sound manipulation, including the `with_fx`, `use_sample_pack`, and `scale` methods. They also addressed the build process by fixing an issue related to mismatched sample rates on macOS and enhanced the functionality of the `sample` method by adding new parameters and improving the existing docs.
reactsynthesizerartsynthesislivecoding
xavriley/qlibugens
Jan 2021 - May 2022
Contributions:22 commits, 3 pushes in 1 year 4 months
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