Building auto scaling algorithms for Azure Functions

Worked with the San Francisco Chronicle to build a data processing and visualization pipeline for live satellite images from the National Oceanic and Atmospheric Administration (NOAA).

Credit Technology Team

Implemented a self-attention generative adversarial network using 100k+ images from UPMC-Food 101 dataset and Python Tensorflow.

Implemented a deep-convolutional neural network trained with 60k+ MNIST images on the Open Computing Facility at Berkeley.

Managed and budgeted club funds from industry sponsorships and fundraising as VP of Finance