Faruk Ljuca

I developed multiple applications in the fintech field, utilizing a wide array of technologies and tools. My work involved integrating with numerous payment service providers, as well as managing payments and Know Your Customer (KYC) systems. I developed several microservices across various technologies, with a strong focus on stability and performance. Additionally, I performed multiple sensitive migrations that required both precision and speed.

Developed a full-stack web application using Java Spring Boot and React for a large company. The application was integrated with many other systems using REST API and Apache Kafka. High code quality was achieved using a hexagonal layered architecture on the back end and Context API and Hooks on the front end. The application was tested rigorously with above 90% unit test coverage supplemented by integration tests. Because of this, although the codebase was large, the application was easy to maintain and extend with new features. I also managed the introduction process for new employees and helped with business decisions.

I improved data handling inside MongoDB, enabling the generation of complex reports with a focus on speed and data integrity. I also developed UI features across the whole app that enabled users to manipulate their data and follow strict supply chain business logic.

This is a Node.js-based app that provides a user risk profile calculation feature. It uses Angular to provide a rich and performant user experience. Data is stored securely in MongoDB. A dashboard for user investment was developed, and integrations with multiple banks and other third-party software were implemented to provide an excellent user experience for Estably clients.

I developed a full-stack application using Ruby on Rails. The application processed large amounts of data, sometimes even large files with multiple GBs. For heavy processing, I integrated with Java Spring Boot microservices that I also developed. AWS Elastic MapReduce was used for specific files to make processing run in parallel.

The application processed and analyzed map data information in bulk, integrating with many provider APIs, such as Google and Facebook. The data was presented to the user via Charts, where I used D3.js to deliver the best results. The biggest challenge was making a fast and responsive system by optimizing UI rendering, back-end processing, and SQL querying. The application was deployed on Heroku and AWS EC2 instances that I also managed.

I developed an Android application that organizes receipts, uploads images, and connects to the Node.js REST API. I created a Node.js back end that provided charts and statistics for users. The back end also provided a REST API for the Android application, enabling data persistence using a MySQL database and sending email notifications with the SendGrid API.

This application was used to manage sports clubs and teams. It is integrated with a REST API to collect data and implement the caching of data with the Realm Android database. I focused on providing users with a native Android experience, refactored large parts of the system, and optimized it to be fast and responsive.