Ruari Molyneux

Project: Video Call Accessibility Agent | RNID

• Project in collaboration with the RNID, applying AI to improve technology for hard of hearing users.
• Developed an ML-powered tool delivering adaptive, real-time assistance, tested iteratively with hearing-impaired participants throughout development.
• Secured funding based on prototype built in 2 months.
• Technologies: React, Node.js, Typescript, Pulumi, GCP, MySQL, Redis, WebSockets.

Project: Rejig

• Worked with an ex-BBC lead audio research engineer to design and implement a SaaS product for personalised media production.
• Researched and developed features extraction pipelines for transcripts, music, and sound effects.
• Developed an ML-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 to cloud platforms.
• Involved in all stages of development, from initial idea to product launch.

• 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.
• Participated in client meetings to ensure precise project requirements.