E-Learning Platform

Overview

A comprehensive e-learning platform built for medical students. The platform handles course management, encrypted video delivery, and push notifications. Web, Android, and iOS clients all connect to a shared NestJS backend.

Responsibilities

• Architected and built the backend using NestJS with MongoDB, handling course management, user workflows, and content delivery.
• Implemented a video processing pipeline using Redis + BullMQ queues with FFmpeg for transcoding and HLS encryption.
• Built a scheduled push notification system using FCM, powered by Redis-backed job queues on the NestJS backend.
• Developed the API layer serving web (Next.js), Android, and iOS clients from a single backend.
• Managed all DevOps — Docker containerization, Nginx reverse proxy, server setup, and deployment on Linux servers.
• Set up S3-compatible object storage for secure video hosting and delivery.

Technical Highlights

• End-to-end video pipeline: upload → queue → FFmpeg transcode → HLS encrypt → S3 storage → secure playback.
• Single NestJS backend powering web, Android, and iOS clients.
• Redis + BullMQ powering both video processing and scheduled push notification delivery.

Challenges

• Building a reliable video processing queue that could handle variable upload sizes without blocking other operations.
• Ensuring encrypted HLS streams remained playable across different devices, browsers, and mobile apps.
• Designing a backend API flexible enough to serve both web and mobile clients from a shared codebase.

Outcomes

• Delivered a production platform handling real student enrollments and video consumption.
• Built a reusable media processing pipeline and notification system.
• Demonstrated ability to build and maintain a single backend serving web and mobile clients simultaneously.