Software Engineer Intern at Pinterest | Computer Science student at George Mason University with a minor in Computational Data Science. Passionate about mobile development, full-stack engineering, and machine learning.
React Native, Flutter, iOS, Android
React, Node.js, Python, JavaScript
I'm a Software Engineer Intern at Pinterest and a Computer Science student at George Mason University with a minor in Computational Data Science. I have a strong foundation in mobile development, full-stack technologies, and machine learning. I love creating innovative solutions and continuously learning new technologies.
Built responsive web applications using React, Node.js, and modern frameworks
Developed cross-platform mobile apps with React Native and Flutter
Analyzed complex datasets and created visualizations using Python and R
Always exploring new technologies and best practices in software development
My professional journey in software development, from internships to full-time roles

Developed features for Pinterest iOS app serving 50+ million users. Redesigned metadata layouts boosting clickthrough rates by 13% and built dynamic color filters increasing engagement by 17%. Developed GraphQL APIs and iOS features in Objective-C and Python.

Enhanced system reliability by automating Jenkins builds, containerizing internal tools with Docker, and developing Java UI components that streamlined workflows and reduced deployment time by 30%.

Developed a VueJS + Quasar feedback web app with a built-in bug tracking and reporting system, cutting issue resolution time by 40% and earning 90% positive client feedback. Designed a PostgreSQL backend and collaborated in Agile sprints to streamline QA and product iteration.

Built an iOS + watchOS app as part of a $712K federally funded project supporting neurodiverse young adults. Integrated HealthKit and Firebase to track heart rate and deliver real-time interventions, achieving 86% positive feedback in a pilot with 20+ participants across the D.C. area.
A showcase of my recent work across mobile development, web applications, and data science

My team built GridWatch in 7 hours and won 2nd place overall. A civic monitoring platform powered by AI agents that delivers real-time city updates from power outages and road closures to public safety alerts in one dashboard for residents and officials.
