Adaptive Learning System with Scalable Web Performance
Designed and implemented a scalable web application for an online learning platform, capable of supporting thousands of simultaneous users, enhancing the learning experience with a 40% increase in course completion rates.

Summary:
Designed and implemented a scalable web application for an online learning platform, capable of supporting thousands of simultaneous users, enhancing the learning experience with a 40% increase in course completion rates.
Problem:
The online learning platform's infrastructure struggled with scalability, especially during peak times like course launches or exams. This led to slow loading times and a frustrating experience for students, severely affecting course engagement and completion rates.
Solution:
To resolve these issues, we deployed the following technologies:
Elastic Architecture: Designed an elastic architecture that seamlessly scales resources based on user demand, using services like AWS EC2 Auto Scaling. API Gateway: Implemented API Gateway for more efficient handling of requests between front-end and back-end services while supporting caching for improved performance. Database Sharding and Replication: Optimized the use of databases through sharding and replication to enhance read and write performance across multiple instances. Progressive Web App (PWA): Developed the application as a PWA to improve user experience on mobile devices, providing offline capabilities and rapid loading. This architecture ensured a smooth and responsive user experience, regardless of the traffic volume.
Results:
Post-implementation, the platform enabled over 50,000 concurrent users without degradation in performance, maintaining a consistent uptime of 99.95%. Course completion rates increased by 40% due to the improved user experience. Student feedback indicated heightened satisfaction with the platform's