Matt Pfeiffer is an Immersive Analytics Software Engineer with seven years of experience building high-impact Apple platform apps, audio engines, and immersive visuals. He led iOS development for a top-ranked music creation app with millions of users—designing real-time AVFoundation pipelines, a proprietary pitch-correction engine, and a modular Swift Package architecture—and contributes to widely used open-source audio projects like AudioKit. Skilled in Swift, SwiftUI, RealityKit, and Metal shaders, he’s published 70+ RealityKit/Metal examples while actively exploring spatial computing for visionOS and the Apple Vision Pro. His background in mechanical engineering, CAD, and hardware MIDI systems gives him unusually strong spatial reasoning for graphics and immersive UX. Based in Kansas City, he blends independent shipping ability with product-led collaboration across startups and enterprise domains, including healthcare and automation.
7 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Western Governors University
Audio synthesis, processing, & analysis platform for iOS, macOS and tvOS
Role in this project:
Software Engineer (Audio Processing and Analysis) / Test Automation Engineer
Contributions:20 reviews, 92 commits, 39 PRs in 2 years
Contributions summary:Matt focused on enhancing the AudioKit library's audio analysis capabilities. Their contributions included adding functionality to FFTTap, allowing for the disabling of normalization and the implementation of zero padding. They also created unit tests to validate the new FFTTap features and the functionality of AmplitudeTap's peak analysis mode. Further work was done to improve the documentation and fix the audio engine's input documentation.
Canonical Examples for Using the AudioKit Framework
Role in this project:
Mobile Developer (iOS)
Contributions:1 review, 10 commits, 2 PRs in 4 days
Contributions summary:Matt primarily contributed to the AudioKit cookbook repository by adding new audio-related recipes and integrating them into the application. They implemented features such as audio file waveform visualization and a multi-segment audio player. The changes involved modifying and adding SwiftUI views and utilizing the AudioKit framework.
audiokit
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