• Develop GraduateNU, a Northeastern class scheduler based on the degree audit• Decreased time updating a course in a schedule from 2s to 100ms by re-architecturing the Home and the drag-n-drop functionality utilizing useSWR’s optimistic updates• Reduced bugs by implementing logging functionality with different event log levels using NestJS’s built-in interceptor

• Decreased model loading time by 30% by performing batch request from AWS S3, utilizing Redis to cache model's calculated data, and batching database request to PostgreSQL • Created a CRUD endpoint for exporting trailing averages data using Java Spring Boot. Optimized export time for bigger models from 1 minute to 1 second by reducing calls to Redis and utilizing SCAN• Decreased down time for platform by 50% by implementing Blue/Green Deployment strategy in PostgreSQL using triggers and refactoring specific data calls to a microservice• Increased success rate of onboarding workshop by 50% by migrating the database from Cloud MySQL to PostgreSQL and backend from Java Spring Boot to Fastify• Decreased AWS EC2 usage cost by creating a CloudFormation Template to setup Event Bridge Rules triggering a Lambda to periodically turn on/off EC2 everyday

• Hosting weekly office hours to help with homeworks and explain course concepts • Grading homework assignments and exams and give students feedback • Communicating individual students' progress to instructors through weekly staff meetings

• Eased commute to work for 200+ Northeastern student by implementing a full stack web application for displaying student’s location on a map using NextJS and Mapbox API• Enabled type-safe API by implementing serverless backend using tRPC• Improved user experience by creating an autocomplete field for addresses using Mapbox Geocoding API and Headless UI• Enabled secure and easy access to the application by implementing Google OAuth using Next-auth