As a Computer Science student at Princeton University, I am passionate about solving problems with data. I have developed skills in machine learning, data analytics, and software engineering through my coursework, projects, and internships. I most recently worked at Google under the Google Assistant and Gemini organizations working on Android Auto's LLM text message reply feature to improve user safety while driving. In this role, I created new streams of collaboration between teams across the US and Europe, leading to the integration of new back-end models into Android Auto's LLM functionalities. I managed the legal, organizational, and technical aspects of this integration, where my tech stack consisted primarily of Java, Kotlin, and Python. I previously worked as a business analyst at Proficio Investment, where I automated messaging to clients in JavaScript, conducted stock simulations in Python, and managed a portfolio that saw a 20% return. I also valued Argentine bonds, forecasted stock prices, and designed Spanish-language presentations for asset management and investment services. Previously, I was a quantitative research intern at Ida B. Wells Just Data Lab, where I solved data scarcity issues by merging and customizing datasets and formulated a hypothesis on the efficacy of the Covid-19 prison response. As an independent researcher, I have also designed novel methods for auditing large language models on difficult multilingual data, working to solve the vast problem of reliable code-mixed language behavior for LLMs.Feel free to connect if you share similar interests or have any questions.