Implemented multithreaded processing to increase application performance.

Wrote C/C++ code in a Linux environment

Experimented with architectures such as convolutional neural networks and generative adversarial networks.

Built a dataset for subsequent use for training, evaluation, and analysis with machine learning models.

Designed and experimented with loss functions based on frequency analysis and contrast sensitivity functions.

Wrote code to implement a recurrent neural network-based version of the CycleGAN image-to-image translation model.

Coded a data processing pipeline in order to transfer and process data from BitPlane Imaris.

Analyzed relationships between thermal properties of TIJ printers and quality of print.

Explored preprocessing and feature engineering techniques to enhance neural network performance.

Wrote MATLAB code for cross-validation and optimizing network hyperparameters.