I’m a designer, software engineer, astrophysicist, and musician from California. I enjoy solving problems, creating beautiful and resilient software, making art, and learning about the universe we live in. 🚀 Let’s work together.
Over the course of two separate internships at Acorns, I was involved in nearly every part of their design process, and even touched on development. I helped redesign and develop their website, redesigned a portion of their app, and designed email campaigns. I also prototyped and A/B user-tested various potential iOS product features.
As Honey’s first designer prior to its resounding success, I designed the initial concepts for their website and browser plugin, and made brand guidelines including colors, typographies, and UX practices.
As an IoT software engineering intern at ARM, I designed and built an automated system in Java and Spring that deployed and maintained AWS EC2 instances for the thousands of clients using ARM chips in their devices.
In my 8-month co-op at Scalyr, I spent time as a Backend engineer and also as an API engineer, completing various projects ranging from internal tool development, to client log encryption APIs, to database design.
While earning my degrees at Cal in CS and astrophysics, I took courses on algorithms, databases, computer security, interface design, operating systems, artificial intelligence, and more. Click below to see an overview of some of my favorite class projects.
Neural Network Compression of Astrophysical Datasets
2020
As a member of the research group headed by Dr. Josh Bloom, head of UC Berkeley Astronomy and cofounder of Wise.io, I researched the viability of using neural network autoencoders to compress and reconstruct large astrophysical data sets, such as Gaia. In the process, I explored ways to sample within the compressed representation to produce dummy data points representative of the original distributions, as a possible method of interacting with and using such data sets without having to download all of the data.
