Projects

Resell is a student marketplace Android app used by ~500 users at Cornell. Contributed to the Intelligent Homepage and notification systems, focusing on personalized recommendations and event-driven updates. Shipped production-facing features in a Android codebase with backend-integrated networking. 

Technologies Used: Kotlin, Jetpack Compose

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Ithaca Transit is a public transportation and walking route app used by ~2000 users in Ithaca. Contributed to features like favorites and recents, while enhancing data flow and persistent storage. Collaborated with a cross-functional team using agile practices for a January 2025 relaunch. 

Technologies Used: Kotlin, Jetpack Compose

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A machine learning project aimed at improving the job search experience by analyzing and classifying over 20,000 job postings. The project focuses on grouping engineering roles by their job titles using text classification and clustering techniques like K-Means and LDA. This enhanced categorization helps users find better-matched roles, driving user retention and engagement on the platform.

Technologies Used: Python, Pandas, Scikit-learn, NumPy

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Created a full-stack expense tracking app with a backend built using Flask, SQLAlchemy, and Docker. Integrated token-based authentication, email notifications via SendGrid, and deployed the app on Docker Designed a user-friendly frontend with charts and advanced navigation features using Kotlin and libraries like OkHttp and Moshi.

Technologies Used:  Python, Flask, SQL, Kotlin, Jetpack Compose

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Collaborated in a team of 5 developers and participated in the front-end development of a scheduling app that allows Cornell students to connect with coffee chatters and arrange coffee chats from a range of campus organizations. Curated several functions using Kotlin such as multiple activities, fragments and recyclerviews, and integration with the backend using OkHttp.

Technologies Used: Kotlin, Jetpack Compose

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