Elizabeth
Chen

Junior Computer Science major at Cornell University

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About Me

Elizabeth

Hi, I'm Elizabeth and I'm a Junior at Cornell University studying Computer Science in the College of Engineering. Originally from Redmond, Washington, I'm passionate about software engineering, machine learning, system design, and algorithmic design.

I have experience across both front-end and back-end development, and I take pride in my attention to detail and thoughtful approach to building reliable, well-designed systems. I enjoy tackling complex problems and continuously expanding my technical skill set, whether by exploring new technologies or deepening my understanding of core concepts. I’m especially interested in applying my technical background to real-world challenges and finding creative ways to merge my interests with technology.

Outside of coding, you'll usually find me watching or playing amateur tennis, going on nature walks, traveling, or spending an embarrassing amount of time on social media. All the photos featured on this site were taken by me.

Experience

Google
Google Fall 2026
Software Engineer Intern
Cambridge, MA

    Incoming this fall on Google Photos Team

Meta
Meta Summer 2026
Software Engineer Intern
Bellevue, WA

    Incoming this summer on Signal Growth Team

YouTube
YouTube May 2025 - August 2025
Software Engineer Intern
San Bruno, CA

    Developed a full-stack feature for YouTube Music’s in-app lyrics on Android and iOS, used by tens of millions of listeners worldwide, and successfully launched it to production.

Google
Google May 2024 - August 2024
Software Engineer Intern
Mountain View, CA

    Implemented a full-stack feature for an internal experiment launch tool by extracting data from the tool’s metamodels using Java and a Google internal configuration language.

Projects

01
Tissue.ai

Hackathon project that scrapes open source projects using agentic AI to read through repo and suggest fixes.

Next.js React Letta API Tailwind CSS
Overview

Our project helps users understand and guide them along the process of fixing GitHub repo issues. The client pastes the link of an issue they're working on, and we use agent orchestration to process the repository and the specific files that the issue targets. Our system collects data persistently through Letta's MemGPT technology and synthesizes information in an interactive and easy-to-grok format for users. The structured and specific data can greatly benefit developers new to the project.

02
Optimized Waiting Room

Used a voice dataset to train a model to detect different breathing-related illnesses and stress levels to optimize emergency waiting room queues.

Python ML Data Analysis Full Stack
Overview

This project helps users understand and guide them along the process of optimizing emergency room operations. The system analyzes patient flow, wait times, and staff workload to provide actionable insights. Our system collects data persistently and synthesizes information in an interactive and easy-to-grok format for users. The structured and specific data can greatly benefit hospital administrators and staff.

03
Computer Vision Hand Measurements

Uses OpenCV to analyze hands and estimate measurements for patients with lymphedma to help patients get at-home treatment and monitoring.

Python Typescript OpenCV
Overview

The KnitDema project is an innovative application designed to assist people with lipedema or other dexterity-affecting conditions to access at-home, readily-available treatment through a specially-molded glove. The glove is equipped with sensors that can detect the user's hand movements and gestures, which are then processed by a machine learning model to provide real-time feedback and guidance on performing lymphatic drainage massage techniques effectively. The software component of this system ensures users have a easy and seamless experience connecting the glove to the app to access the different treatment modules via bluetooth. The system also integrates computer vision to measure patient hand dimensions and automatically generate a custom glove bitmap for the knitters to use, rather than having the patients come to the lab to get their hands measured. The overall goal of this project is to make the treatment more accessible and personalized for patients, while also providing valuable data researchers using computer vision to efficiently and accurately measure hand dimensions for custom glove generation.

04
YouTube Music Translation UI

Developed and deployed a full stack feature on YouTube Music that translates song lyrics in real time using the Google Translate API.

Full Stack Typescript C++
Overview

The Youtube Music Lyrics Translation project is a mobile application designed to provide real-time translation of song lyrics for users around the world. The app integrates with the YouTube Music platform to fetch song lyrics and uses the Google Translate API to translate them into the user's preferred language. This project reaches over 100 million users worldwide and has been one of the most requested features on the YouTube Music platform.

05
Monopoly

Built a rendition of Monopoly in OCaml.

Functional Programming GUI
Overview

Final project for CS 3110, a course on functional programming using OCaml. The project is to implement a version of Monopoly using purely OCaml. The project is built from scratch, including the game logic, user interface, and all game components. The game supports multiple players and includes features such as property trading, auctions, and chance/community chest cards. The project demonstrates a strong understanding of functional programming concepts and OCaml syntax, as well as the ability to design and implement a complex system using a purely functional programming language.

06
Personal Website

Designed and developed a personal website. Built with a custom CSS grid layout, scroll and hover event listener animations.

HTML CSS JavaScript
Overview

My personal website is a portfolio that showcases my projects, experience, and leadership roles. The website is built using HTML, CSS, and JavaScript, and is designed to be responsive and visually appealing. The website features a clean and modern design, with a focus on usability and accessibility. It includes sections for about me, experience, projects, and leadership, as well as a contact form for visitors to get in touch with me. The website is hosted on GitHub Pages and is regularly updated with new content and projects.

Leadership

2025 - Present
Teaching Assistant
CS 2110 -- Data Structures
  • Selected from a competitive pool of applicants to support 500+ of students by leading weekly discussions and office hours and contributing to course development and improving content quality and diversity
  • Applied advanced Java and data structures knowledge to effectively teach and mentor students, simplifying complex algorithms through clear explanations and examples.
2023-Present
Prospective Students Committee Director
Society of Women Engineers
  • Increased engagement among 700+ prospective engineering students by organizing and supporting peer connection initiatives, resulting in stronger community ties and improved perception of the program and the engineering community
2023-2025
Social Board Member
Association of Computer Science Undergraduates
  • Collaborated with various student organizations and university departments to secure thousands of dollars in funding and resources for large-scale events aimed at fostering student interaction and networking; led logistics and operations for Cornell’s annual Bowers Computing and Information Science (CIS) Formal
2021-2025
Volunteer Coordinator
Evergreen Robotics
  • Coordinated and led the match referees for a local middle school robotics competitions and events, ensuring smooth operations and effective participation; facilitated training sessions and provided guidance to enhance team performance and engagement