Mircea Ene

I created a Node.js back end, and a Unity front-end mobile application. I used Atlas MongoDB for permanent storage and Redis as an in-memory cache. The client communicated via REST and requested with the Node.js Express server. In order to increase throughput, all the puzzles in the game are pre-built and stored in the DB. I also developed a backtracking algorithm combined with dynamic programming and used a scoring mechanism based on multiple attributes of a movie to create the puzzles. The data used to construct the puzzles is scraped daily for updates (new movies and new actors) using GET requests to API endpoints provided by The Movie Database (TMDB) for free.

The difficulty of a puzzle is dynamically calculated based on a machine learning model trained using user feedback and movie preferences. For generating puzzles, I chose to go with C++ worker threads spawned by Node.js V8 engine. This solution was based on having all the data structures already written in JavaScript. For unit, integration, and E2E tests I used Jest, a testing framework available as a Node.js package. The servers are run on Linux machines hosted on GCP.

I created a raw HTML dashboard backed by a PHP application used for monitoring different parameters of air quality, humidity, and UV levels. The application runs in an Apache environment and uses MySQL as a database.
Using the Stripe payment module, I implemented a payment feature. Also, I implemented an admin role and user management.