As a Head UGSI, I manage 30+ student instructors, 45+ tutors, 130+ lab assistants to serve the Intro to Data Science class of 1300+ students at UC Berkeley. Aside from the logistics of running the course, I also teach 2 2-hour labs that teach students with no background experience Python and data science.

As a SWE Intern at NerdWallet, I revamped and improved the Home application flow for the Loans team. Using a shared state machine library and shared React components, I built out an experience from scratch to ask for user data so that users could compare offers and see personalized quotes for mortgages when purchasing a home or refinancing a mortgage. My project was the first step of an initiative to move towards a more consistent look and feel when asking users for data. Therefore, I learned a lot about persisting code and creating a foundation to drive greater efficiencies, iterate, and scale.

As a SDE Intern at Amazon, I worked on the Financial Ledger and Accounting Services Hub internal software. I designed, implemented, and tested an efficient core feature for Amazon's complex rules engine that is used by dozens of teams in Amazon, including Accounting, Alexa, and Amazon Retail.

As a Undergraduate Student Instructor, I teach a 2-hour lab section of 35 students for Data8, Introduction to Data Science, at UC Berkeley. One of my accomplishments is tailoring material and concepts to students with no prior programming experience to encourage and excite new students in Computer Science.