About Me

I am a senior Computer Science major at Cornell, driven to build software that makes an impact by helping others and positively influencing the community.

My initial interest in software development began when I worked in a biomedical AI lab where I helped develop an Android application that aids in the speech and communication of those who have speech and motor disabilities such as Cerebral Palsy. I was drawn by the ability CS had in giving people the power to speak, which inspired me to become a CS major.

My technical experience lies in full stack development, machine learning, and AI. I have experience building mobile apps, handling backends, and developing and fine-tuning machine learning algorithms. In terms of projects, I am actively involved in Cornell AppDev where I have helped develop several apps Cornell students use regularly such as Eatery, Transit, and Resell. I also have interned at Google last summer where I worked on the backend for Google Drive.

Outside of programming, I enjoy going to the gym, recording mental health podcasts, listening to music, dancing, and baking macarons.

Projects




Resell


Lead and backend developer for Resell - an app for Cornell students to buy and sell preowned items both securely and sustainably.


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Ithaca Transit


Lead and backend developer for Ithaca Transit - an app for Cornell students to see bus and walking routes.


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Smart Travel App


Developed an iOS app that utilizes OpenAI's API to provide travel itineraries and a customized LangChain agent for hotel and flight suggestions.


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Outfit App


Built an iOS app that generates outfits based on the weather.


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Goal Setting


Goal setting is a React web app that allows users to "plant their goals", include journal entries, receive AI goal evaluations, and chat with a virtual AI mental health assistant.


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Trigger Warning


A Chrome Extension that provides an alert if a website's content may be triggering.


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The Giver


The Giver is a web application that provides gift suggestions based on a gift receiver's likes and interests.


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Path Planning


Setting the aircraft's waypoints to implement a path that ensures the plane reaches desired locations and stays within boundaries.


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ALS Diagnosis


A data mining algorithm that can recognize early onset of ALS through patterns in symptom onset.


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Claire's Delights Website


Website built for my sister Claire's clay earring business using React.


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Sci-kit learn Open Source


Sci-kit learn is an open source Python library hosting several machine learning models. To contribute to this open source project, I added several blocks of documentation providing examples of how to use the validation functions.

Click to view on Github!


Jarvis Open Source Project


Jarvis is a personal helper at the command line that can help with various tasks. I created a Wordle plugin so users can play the word guessing game directly from their computer's terminal.

Click to view on Github!

Work Experience




Incoming Software Engineering Intern at Google


Fall 2025 on Semantic Understanding Team


Software Engineering Intern at Apple


Summer 2025 on iMessage Platform Team


• Resolved high priority UX and UI bugs pertaining to automatic spam filtering and integrated error state support for group chat polls, contributing to new iOS 26 features used by 1.3B+ iMessage users
• Designed and built a new feature from scratch for iMessage by drafting a UI and architectural implementation plan and building full-stack support in Objective-C and Swift


Cornell CS Course Staff


TA for Intro to Analysis of Algorithms FA24 and SP25
Course Consultant for Data Structures and Algorithms SP24


• Hosted office hours for 540+ students to ask questions about data structures, sorting, and algorithms.
• Facilitated discussion sections, graded assignments and exams, and ensured fairness during proctoring.


STEP Intern at Google


Summer 2024 on Google Drive Backend


Mitigated abuse of user storage quota by implementing a Java feature and launching it from local to production.


Bioinformatics Intern at Roche


In Summer 2023 developed a machine learning pipeline supporting 8 models using the caret package in R to enable scalable big data analysis.