Nick Arner is an Engineer in Residence at Sutter Hill Ventures with 11 years of experience building creative technology products that bridge human interaction and expressive systems. He combines a strong musical and audio-technology background (MSc in Music Technology) with hands-on engineering across iOS, macOS, embedded hardware, and rapid prototyping to ship tactile, delightful interfaces. As a founding engineer and freelance iOS developer he’s led AR, audio, haptics, and gesture-prototyping work, and contributed to notable open-source projects like AudioKit and a gesture recognition toolkit, improving UX and testability. He advises and invests across ML, hard tech, HCI, and developer tools, helping startups turn experimental concepts into shippable product features. Known for quick concept iterations and cross-disciplinary fluency, he often translates musical intuition into novel interaction designs and robust demos that accelerate product decisions.
11 years of coding experience
10 years of employment as a software developer
Master of Science (MSc) by Research Music Technology, Master of Science (MSc) by Research Music Technology at University of York
Certificate with Honors Audio Production, Certificate with Honors Audio Production at Recording Workshop
Bachelor of Arts Music Technology, Bachelor of Arts Music Technology at Capital University
Audio synthesis, processing, & analysis platform for iOS, macOS and tvOS
Role in this project:
Mobile Developer (iOS)
Contributions:621 commits, 70 PRs, 42 comments in 1 year 11 months
Contributions summary:Nick primarily contributed to the development of the iOS playground examples within the AudioKit framework. Their commits demonstrate the addition of UI components and user interactions for playing, pausing, and stopping audio within the AKAudioPlayerWindow class. Additionally, the user incorporated the ability to select from multiple audio loops, and also added examples and controls to the mandolin and distortion effects. This indicates a focus on enhancing the user experience and usability of the AudioKit library.
Contributions:6 commits, 2 PRs, 10 comments in 15 days
Contributions summary:Nick contributed to the Gesture Recognition Toolkit (GRT) by adding and modifying classification modules. Their changes involved adding `getId()` methods to various classifier classes like `KNN`, `AdaBoost`, and `Softmax` for unit testing purposes, indicating a focus on testing and code maintainability. They also modified code related to the SelfOrganizingMap and other classification modules, adding functionality for unit testing. These changes focused on improving unit test coverage and adding new test files for different classifiers.
recognitiongesturegesture-recognition
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Nick Arner - Engineer In Residence at Sutter Hill Ventures