• Developed Premium, the company’s flagship product, using Remix and SSR to deliver fast, SEO-optimized e-commerce experiences with improved Core Web Vitals and consistent performance across browsers and devices

• Partnered closely with designers to turn Figma mockups into polished, responsive pages across browsers and devices

• Generated over $1B in annual cannabis sales by optimizing checkout flows reducing cart abandonment and integrating real-time inventory management through the development of a new in-store kiosk experience

• Designed and deployed new Rails endpoints to cleanly separate front-end and back-end responsibilities, improving response times and data handling efficiency

• Improved accessibility and responsiveness of shared UI components, ensuring consistent behavior and appearance across devices, products, and server-rendered environments

• Built and deployed Mixpanel event tracking infrastructure, capturing both conversion funnels and rich user behavior to support product, growth, and retention analysis.

• Refactored large feature areas into context-based, maintainable architectures, improving developer onboarding, testing coverage, and long-term scalability

• Contributed to internal documentation, CI/CD upgrades, and SSR reliability initiatives, helping improve deployment stability and developer productivity

• Developed React Native mobile app (Jane) connecting users to local dispensary products, achieving #51 ranking in App Store's Medical category with 4.8-star rating and 50k+ downloads

• Enhanced user experience through numerous front-end optimizations and polishes in collaboration with designers

• Proactively identified and implemented code refactoring to improve performance and readability

Selected for a 12-week invitation-only program designed to allow students to work on meaningful technical projects alongside Google engineers with the goal of learning industry best practices

• Conducted research at NYU Tandon's Mechatronics lab under the ARISE program, focusing on innovative detection methods

• Tested the efficacy of different detection techniques—such as color-based tracking, AprilTags, and image recognition using OpenCV and Apple's Augmented Reality kit—for autonomous identification of robots in space

• Designed and developed a mobile application in both Swift and Objective-C that could provide a graphical representation of the movement of robotic swarms