- Engineered Shopify application for Bucephalus Tech’s AI-driven inventory management system.- Refined frontend architecture with React Typescript and TailwindCSS by debugging existing components and implementing new modals. Resulted in 25% reduction in page loading and 15% increase in user engagement.- Utilized Node.js and Express for efficient API handling, with Prisma ORM to query and pull data from PostgreSQL database, ensuring data consistency and optimizing backend integration… Show more - Engineered Shopify application for Bucephalus Tech’s AI-driven inventory management system.- Refined frontend architecture with React Typescript and TailwindCSS by debugging existing components and implementing new modals. Resulted in 25% reduction in page loading and 15% increase in user engagement.- Utilized Node.js and Express for efficient API handling, with Prisma ORM to query and pull data from PostgreSQL database, ensuring data consistency and optimizing backend integration. Leveraged Docker for containerization, enabling consistent deployment and scalability.- Spearheaded SEO through keyword optimization, meta tag enhancements, and structured data markup, producing a 31% increase in website traffic and a 20% uplift in conversion rates. Show less

-Co-founder of Ceil, an app to maximize your credit card rewards for each transaction

- Participated in workshops that taught entrepreneurial and technical skills to prepare a pitch to investors- Competed against 17 other groups and placed 1st ($2.5k)

- Designed and implemented interactive UI/UX elements in React for MeetNine dating app.- Constructed interest-based matching algorithms using graph theory and machine learning, increasing match success rate by 15%. Applied Bron-Kerbosch algorithm to group users by shared interests and built REST APIs in Flask for matching, messaging, and authentication.- Collaborated in Agile/Scrum environment, delivering features through sprints, daily stand-ups, and retrospectives.

• One of 72 high school seniors across New Jersey selected for this program• Conducted research in the computer vision of drone-based systems and presented our written research paper at the MIT URTC conference• Won 1st place in the program-wide robotics competition• Took classes in Materials Science, Astrophysics, and Astronomy

- Researched optimization of drone delivery cameras, Developing machine learning algorithms through neural networks with Python and OpenCV to enhance computer vision software.- New algorithms increased processing frequency by 222% and achieved 99% accuracy in position tracking.- Co-authored IEEE-published paper “Improving the Performance of Computer Vision Algorithms for theMulti-Mode Hybrid Drone Delivery System”. Presented findings at the MIT Undergraduate Research Conference.