● Developed real-time collaborative text editor backend using Flask and Flask-SocketIO with Operational Transformation for safe concurrent editing and conflict resolution. ● Collaborated on frontend–backend integration: ensured real-time updates via WebSockets. ● Configured containerization and deployment with Docker Compose and Nginx reverse proxy to support both HTTP and WebSocket traffic in a production-like environment.

● Developed genetic algorithm to optimize the distribution of students into electives based on their GPA, preferences, and other constraints. ● Collaborated with a team to design and implement the algorithm, ensuring efficient and fair allocation. ● Conducted thorough testing and debugging to ensure the accuracy and reliability of the algorithms

● Developed RESTful API using Flask and PostgreSQL for user onboarding, profile management, skill assessment, and progress tracking. ● Designed and implemented database schema in PostgreSQL to store user profiles, skills, personalized learning paths, activity logs, and other necessary entities. ● Developed backend for AI Coach: created endpoints for chat interactions, managed session state, ● Configured CI/CD pipelines to run tests automatically and deploy to staging/production environments