Hello, I'm Chelsea She 👋

I am currently student at Cornell University with a double major in Computer Science and Cognitive Science. I have experience in mobile app development, website development, AI/ML and NLP research. I am actively looking for any opportunities in computer programming and software engineering.

Chicago, IL

Ithaca, NY

Available for new projects

about me

curious about me?

I am a passionate, self motivated full-stack software developer. I love getting my hands on new projects to build. Either it be website development with Next.js, or a mobile app with Swift or Kotlin, I am always fascinated in the creation process of creating truly impactful and human-centered software.

I am very much a progressive thinker and enjoy working on products end to end, from ideation all the way to development. However, I also have experience working on large code-bases, and collaborating with teams towards a collective goal.

I love to explore the intersections of technology and human cognition, to make products that have human-centered designs. At the end of the day, we aren't making products for robots, but cognitively complex human beings, so I love researching and reading about human-computer interaction.

Whenever I am not coding, you can find me playing any racket related sport (tennis and pickelball) or cooking/baking. I am trying to get into running, aspiring to run a half-marathon one day :)

skills

The skills, tools and technologies I am good at:

Python

Java

HTML/CSS/JS

NextJS

Swift

Tailwind

TypeScript

Git

Firebase

Kotlin

SQL

Apple Developer

experience

Here is a summary of my most recent experiences:

Research Intern

Researched under Cornell's Bowers CIS Undergraduate Research Program alongside Prof. Yang
Developed case study web app measuring constructive learning when participants write with generative AI
Researched intersectionalities of human-computer interaction, impact of LLMs and generative AI, and website development

June 2025 - Present

Software Developer

Developer on Cornell's Digital Technology Initiative Project Team for CURaise, a centralized platform designed to streamline and unify fundraising events across the Cornell campus
Collaborated with UI/UX designers to implement responsive, interactive frontend components using modern web technologies.
Networked with backend fuctionalities like Supabase for data management and Zod for schema validation and type safety

Feb 2025 - Present

Developer Fellow

Developed and deployed 5 projects at Headstarter Fellowship: a personal landing page, pantry inventory tracker (Cloudinary image classification), misinformation education chatbot (OpenAI API), AI flashcard generator (with Stripe upgraded accounts), and RAG rate my professor chatbot (Pinecone)
Full stack Swift developer on a team that jump started an iOS mobile app called InstaVerify, which detects misinformation with research proven human-centered countermeasures

Jun 2024 - Aug 2024

Research Assistant

Wrote a review paper for the psychology behind misinformation, human-centered solutions to combating misinformation, and how can current implemented countermeasures be more human-centered
Under the assistance of Emory professor Prof. Shu, currently preparing for publication by end of summer

Jun 2023 - Present

Lead Instructor

Taught 100+ young coders the fundamentals of coding at Code Ninjas
Led middle school student program centered on game development curriculum: Scratch (block coding), JavaScript, Roblox Studio, Unity (C#)
Assisted in junior programs for elementary school students: Scratch Jr. (block coding), Code Spark, circuits

Oct 2021- May 2024

projects

Some of the noteworthy projects I have built:

CCI Rideshare

Developed a ride scheduling and assignment system for Calvary Chapel at Ithaca, my local church of 100+ members, automating message delivery for ride coordination (email and SMS text message). Built a multi-user web interface with role-based access control (rider, driver, admin) and secure authentication. Designed and developed an interactive drag-and-drop dashboard to streamline ride organization and user assignments.

NextJS

TailwindCSS

Firebase

Google Cloud Functions

GitHub

ShadCN/v0

instaVerify

Developed an iOS mobile app called InstaVerify, which detects aims to use reseach proven countermeasures against misinformation: accuracy nudging, explanatory debunking, and increased awareness. Detects misinformation through spoken words or Youtube video links, with explanations. Educates users detection techniques through GPT chatbot. Planning to deploy in App Store by the end of year.

Swift

XCode

OpenAI API

Firebase

Apple Audio Capability

Apple Developer

shsConnect

Developed a messaging iOS app to foster communication among 4K+ students and deans as a full stack Swift developer. Automated push notifications using Firebase Cloud Functions (JS) to manage FCM tokens and integrate with APNS, ensuring notifications based on Realtime Database events. Implemented secure user authentication with FirebaseAuth, while automating mass user creation from CSV uploads to Firestore.

Swift

XCode

Firebase

Firestore

Realtime Database

FirebaseAuth

Apple Developer

APNS

Misinformation Detection Research Paper

Published a research paper on a long text, explanatory, state of the art (SOTA) performance fake news detector. Compared differences between SOTA fake news detector performances trained with long news article texts rather than short twitter texts. Worked alongside Inspirit AI's Fellowship Research Program mentor Clayton Greenberg.

Python

Google Colab

NLP

ML/AI

Kaggle

other

Some other mini things I've done:

Cornell AppDev Hack Challenge

Developed a lost and found app named Found that aims to help Cornellians find their lost items throughout campus. Implemented backend with FirebaseAuth and SQL data storage.

demo

Highschool Wellness Hackathon

Created a wellness website including linked spotify playlists, meditation timers, and breathing countdowns. Led a website development workshop teaching Javascript.

replit

KodeWithKlossy Website Challenge

Made a website teaching fast fashion called CuttOff. Included an interactive map of thrift shops in different cities, informative slideshows, and a click through list of stores to avoid.

replit

Inspirit AI Scholar

Learned how to develop ML models including computer vision, NLP, and neural networks. Analyzed sentiment on Twitter posts using NLP to determine sentiments on a particular company.

github

Highschool Art Portfolio

Learned how to self express individual ideas/beliefs, emotions, and experiences in the form of art in many different styles. This included Chinese painting, acrylic painting, oil painting, and watercolor.

portfolio

get in touch

Feel free to reach out to me if you're looking for a developer, have a query, or simply want to connect :)

cms556@cornell.edu

312-622-5135

You may also find me on these platforms!