AtmosStream is a full-stack real-time data platform that fetches and displays weather and air quality data for multiple cities. It uses a distributed data pipeline built with Apache Beam, stores results in PostgreSQL, serves data via a FastAPI backend, and visualizes it in a responsive React dashboard. Data is sourced from OpenWeatherMap and AirNow APIs.

Building a mobile and web app to solve the problem of a lacking centralized, secure database for patients to access information on previous and current providers across any medical institution or practice. This includes secure image-scanning input of provider information, reminders about overdue appointments, and a breakdown of personal providers by specialty, location, and personal notes and ratings. This app seeks to create a personalized timeline and history of care accessible only to patients for the purpose of improving health outcomes by allowing patients more intuitive, accessible, and secure method for tracking their medical visits. Includes data analytics on visit histories.

Engineered a reduced-deformation model for real-time collision detection, informed by physical constraints, for efficient simulation pipelines. MIT CSAIL Summer Geometry Initiative project with Sara Samu, Juan Serratos, and Prof. Paul Kry.