I'm a passionate Computer Science major with a minor in the Mathematics of Finance,
curious about how data and algorithms can drive better decision-making, especially in
the world of finance. I enjoy working on projects that have real-world relevance and
lead to insights that matter. I grew up coding and have fond memories of building games
on Scratch as a little girl. Since then, my curiosity about the many ways technology
can be applied has only grown.
Outside of tech, I love trying new recipes, watching Formula 1, or getting
lost in a good book.
Projects
Primal Fitness
A full-stack fitness web application for CS490, featuring role-based access for clients,
coaches, and admins. Built with a React/Vite frontend and a FastAPI backend with Auth0
authentication and workout/coaching management.
PythonFastAPIReactAuth0SQLiteREST API
Multi-Agent Debate
A debate simulation platform where AI agents argue opposing sides of any topic. Agents retrieve
web-based evidence and work through opening statements, crossfire, rebuttals, and closing
arguments, streaming results live to the UI.
PythonFastAPIReactTypeScriptGroq APIGemini AIAgentic AI
EcoThread
A multi-platform sustainable fashion tool built at HackPrinceton Spring 26. Features a webapp
for eco-friendly listings tailored to user preferences, a Chrome extension for sustainability
ratings, and an iMessage bot for in-person shoppers.
Chrome ExtensionTavily APIPhoton APITypescriptEnter Pro
Finsense
A personalized financial research assistant that combines live market data, news events, and risk
analysis through modular MCP servers. Built with FastAPI, deployed on Vercel with intelligent
AI coordination for multi-source financial insights.
A full-stack film rental store management system built on the Sakila database.
Supports film search, customer management, and rental transactions through a
RESTful Flask API connected to a JavaScript frontend.
PythonFlaskMySQLSakila DBJavaScriptREST API
F1 GP Predictor
A data pipeline that extracts FastF1 session laps, builds race data CSVs grouped by driver,
and trains a neural network to predict driver performance for the 2025 Abu Dhabi Grand Prix.
Built at HackPrinceton Fall 25 in 36 hours to detect and aid health emergencies, especially
in rural areas. Analyzes ECG and motion data from a low-cost wearable to alert emergency
services and guide bystanders through CPR.
PythonLight GBMData Transformation
Gaia
Winning 1st place at GirlHacks 25, Gaia is a web application with a dynamic AI chatbot designed to support
women on campus by connecting them with resources, guidance, and community!
PythonGemini AI API
Easy S&P
Easy S&P is a stock screener that allows user to filter stocks by sector and sort them by key metrics.
Future updates will include availability online and a news sentiment analyzer built using AWS Sagemaker.
Implemented a Random Forest Classifier on the Banking Data - Marketing Targets dataset from Kaggle
to predict whether a customer would subscribe to a term deposit.
Trained a Multiple Linear Regression model on the 2005-2015 Graduation Rates Public - School
dataset from NYC Open Data to predict Total Grad percentages.
PythonScikit-LearnpandasSeabornMatplotlibMultiple Linear Regression
Credit Predictor
Trained a Random Forest Classifier model on the German Statlog Credit Dataset to determine
whether a potential customer was credit-worthy or not.
I’m proud to share that I’m now a C++ Certified Associated Programmer. Following the curriculum outlined by the C++ Institute, I learned object-oriented programming, classes and inheritance, data types and pointers, and exceptions.
