Ruari Molyneux

Software Engineer with an MSc (Distinction) in Sound and Music Computing, research published at AES and professional experience in audio AI SaaS. Eager to apply research and engineering expertise to cutting-edge audio technology.

Work Experience

Sonic Baume - RNID - Google | Software Engineer (Short-Term Contract) |

JUN 2025 - AUG 2025

  • Developed a video-conferencing accessibility tool for deaf and hard-of-hearing users in collaboration with RNID, Google.
  • Integrated voice-activity detection, image-recognition and large-language models to deliver adaptive, intelligent real-time assistance.
  • Technologies: Typescript, React, Express.js, Tailwind CSS, Generative AI, FFMPEG

Sonic Baume - rejig | Founding Engineer |

OCT 2024 - Present

  • Worked with an ex-BBC lead audio research engineer to design and implement a SaaS product for personalised media production.
  • Researched and developed AI-based features extraction pipelines for transcripts, music, and sound effects.
  • Developed an LLM-driven system that automates hours of audio/video editing tasks into seconds.
  • Collaborated with a UX/UI design agency to assess and refine wireframes, resulting in a more intuitive user experience.
  • Designed with a human-in-the-loop philosophy to ensure creative intent remained central to the production workflow.
  • Benchmarked, profiled and deployed state of the art deep learning models.
  • Involved in all stages of development, from initial idea to product launch.
  • Technologies: Typescript, Next.js, Node.js, Tailwind CSS, AWS, Generative AI, FFMPEG

Simpleweb | Software Engineer |

FEB 2022 - FEB 2023

  • Designed and implemented tools on decentralized platforms.
  • Created a Slack-based colleague rewards system with internal tokens.
  • Developed a carbon-aware workspace optimisation tool for Bath University.
  • Engineered full-stack solutions using Next.js, Express.js, and Laravel.
  • Participated in client meetings to ensure precise project requirements.

Education

Queen Mary University of London

Sound and Music Computing MSc - Distinction | SEP 2023 - AUG 2024

Sheffield Hallam University

Computer Science BSc - 2:1 (69.4%) | SEP 2018 - MAY 2021

Skills

Audio Development: C++, JUCE, Python, MATLAB

Web Development: React, Next.js, Typescript, Tailwind CSS, Node.js, SQL

Ops/Other: GIT, Docker, AWS

Publications

Personal Projects

Geometric and Visual Reverb
  • Synthesizing room reverb using geometry mapping, image recognition, and DSP techniques.
  • Technologies: Python, MATLAB.
Beat Tracking
  • Dynamic programming algorithm for efficient beat detection.
  • 77% accuracy on a ~600 file dataset, evaluated in ~2 minutes.
  • Technologies: Python.
Audio Identification
  • Implementation of an industrial-strength audio search algorithm, also known as the Shazam algorithm.
  • 80% accuracy on a 200 file dataset.
  • Technologies: Python.
Schroeder FDN
  • Feedback Delay Network and all-pass filter reverb plug-in.
  • Technologies: C++, JUCE.
Scattering Delay Network
  • Implementation of efficient room acoustic simulation.
  • Technologies: Python.
a_bowl_of_grain
  • A digital musical instrument mapping a physical grain of sound to a virtual grain in a granular synthesiser.
  • Technologies: MaxMSP, Arduino.

Interests