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Index for online reading materials in order to learn Python and backend development/engineering concepts from scratch and develop a mastery sufficient for Senior/Principal Backend Engineers and Data Engineers
Repository for comprehensive full stack development training. Features a modern front-end built with React and a robust back-end powered by PHP Laravel. This project showcases the integration of cutting-edge technologies to deliver dynamic, responsive web applications.
A backend service built with NestJS that automatically resizes and compresses large image and video uploads, using RabbitMQ for asynchronous job queuing, Sharp and FFmpeg for processing, and S3 compatible object storage for reliable delivery, built for fast and efficient handling of large file uploads online.
Movie Recommendation System built in C++ using collaborative filtering, KNN, similarity metrics (Euclidean, Manhattan, Cosine, Pearson), multithreading, and a REST API backend with Crow for personalized movie recommendations on MovieLens 33M.