- Third engineer at Aquarium Learning, a ML company providing companies with tools to build better models faster. - Worked with one other engineer to build data pipelines with Apache Beam Dataflow Streaming to support large scale streaming uploads of model training data and inferences. Additionally built high scale computation pipeline for CV metrics in Dataflow.- Led a team to improve our model performance on arbitrary text classification, improving recall 10x on categories with few examples.

- Tech lead of a project to create a model performance analysis and comparison platform for a DoD government project. Built infrastructure to run containerized models from multiple vendors.- Worked on multiple projects with the government, deploying the Palantir platform, creating custom applications, and writing data pipelines.

An intuitive app for artists and organizations to showcase work outside museum walls. Winner of the Dean's Cultural Entrepreneurship Challenge.

I am an astrophysics research intern at UCSC in the Science Internship Program (SIP) under Dr. Puragra Guhathakurta. I calculated the first detailed chemical abundances for Andromeda satellites using a new technique applying coaddition to medium resolution spectra.Awards: -Regional Finalist in Siemens Competition 2011 -Semifinalist in Intel Science Talent Search 2012 -Presented a poster at 219th American Astronomical Society Meeting (Jan. 2012) and received an Honorable Mention of Chambliss Astronomy Student Achievement Awards -1st Award in Earth/Space Sciences at Synopsys Science Fair