In my freetime, I enjoy going to the gym, cooking, and making music (piano, beats, etc)!
Implemented a regression testing framework in C# and Python to automate DriveSafe device workflows, increasing QA invoice testing throughput by over 100× while ensuring the correctness of newly developed code.
Linked regression testing backend to intuitive UI, enabling QA testers to run tests solely through the interface.
As a part of KWF's AI team and BioAcoustics project, we focus on researching state-of-the-art techniques for audio data processing, bird classification, and general machine learning methods. We are developing upon this rapidly growing frontier, and designing, building, and testing an architecture to be deployed on edge devices for the use in counter-poaching efforts, specifically in Costa Rica's Osa Peninsula.
A wonky tape machine with obscure random audio effects. The audio effects were made using Max/MSP. The user interface is a culmination of Processing and some Figma design. The main concept was to build a tape machine emulator, with an emphasis on randomization and modulation. Inspired largely by the interesting effects I have found when automating delay, stereo image, and other plugin parameters when making music in a DAW.
A hybrid autoencoder-generative adversarial network (AE-GAN) for low-frequency signal denoising, trained on a dataset of 1000+ audio files.
A video made with visualizations from the Manim Community Library, on the foundational binary classification perceptron algorithm.
use them as album covers
Ann Arbor, Michigan
Nichols Arboretum
North-East Michigan
Forest
El Yunque, Puerto Rico
Stream
Ann Arbor, Michigan
Nichols Arboretum