I am pursuing my Master's in computer science at Arizona State University and plan to graduate in Spring 2025. Throughout my journey at ASU, I completed my Bachelor's in computer science in Summer 2024 and have learned a lot through coursework and my Master's thesis.

During my master's thesis, I have worked on improving the execution time of different tasks by using GPU-accelerated computing backed by NVIDIA's Cuda architecture. As you can see in the table on the right, I have been largely successful especially when working with large datasets where the parallelism of the task can outweigh the memory transfer overhead of moving information and code to the GPU.

In Summer 2022 and 2023, I completed software engineering internships for The Home Depot. I got valuable experience making Golang APIs, uploading these APIs to cloud services, and securing these APIs using a token system. In 2022, I developed an API to authorize check payments making the system faster, more secure, and more resilient to upstream and downstream changes. In 2023, I developed another Golang API to store health and location data for IT field to track PINpads and decide which ones need to be replaced.

During the Summer of 2024, I completed a software engineering internship for Intel Corporation in Hillsboro, Oregon. During this internship, I was able to work on a computer vision project and optimize the deployment for lower computing power systems. I decoupled docker containers to minimize their size and allow for customizable deployment and created startup scripts for each docker container to control the memory usage inside each docker container by minimizing files, python packages, and more.