A simple audio distortion plugin for digital music production, written in Zig.
I used the arbor audio plugin framework for the plugin standard interface and the GUI.
I implemented 12 custom distortion modes and added a feature to use different distortion modes on the top and bottom halves of the audio waveform.
A mobile application, written in Swift, for RGB-D (color + depth) video and audio recording and automatic estimation of 3D facial movement using AI.
In 2022 I earned my Master's in Applied Mathematics from Florida Tech with my thesis
"On Clinical Use of Infrared Cameras for Video-Based Estimation of 3D Facial Kinematics,"
an interdisciplinary research project with the Movement Estimation and Analysis laboratory within the Biomedical Engineering department.
For my research, I developed an iPhone/iPad app to aid clinical researchers in gathering 3D facial kinematic data and tested it in a mock clinical study with student volunteers.
The MEADepthCamera app features on-device computer vision (AI) and GPU-accelerated signal processing, as well as real-time feedback on audio and video quality to help patients complete the clinical tasks successfully.
It uses modern mobile development practices and a local database, and allows for raw file export for further post-processing and analysis.
I acted as project systems engineer for my 2020 Aerospace Engineering capstone design project.