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Computer Science Student
Passionate and self-motivated full stack developer eager to turn ideas into applications. Ambitious to stay on the leading edge of the web development industry and find new learning opportunities or projects to rapidly keep improving as a developer.
Frameworks & Tools
React, Next.js, Gatsby, Node.js, Express.js, Angular, TailwindCSS, daisyUI, Bootstrap, Material-UI, CSS-in-JS, REST API, MongoDB, Thin, MySQL, SQLite3, GitHub
Bachelor of Computer Science
2018 - 2022 (Expected)
XIV Belgrade Gymnasium
2011 - 2015
Crash Course on Python
Database Design and Programming with SQL
HTML and CSS Course
Selected Group doo
Organized the company's office networking and connected all the computers in the office, using switches and routers, creating a LAN. Installed and configured Windows Operating System, all the necessary software for the company on every computer and the company's printer. Resolved a problem where Gmail marked emails sent from Outlook as spam by adding an SPF record to the DNS. Helped the company's employees to solve their technical difficulties.
Next Day (To-Do App)
React - Next.js - TypeScript - Thin Backend - TailwindCSS
Web application that allows users to create and manage their personal To-Do lists. The application has implemented Authentication and CRUD operations for the lists and tasks. Every list has a Pomodoro timer that allows users to track their time. The project is built with React (Next.js) for the frontend and Thin Backend for the API and database.
React - Next.js - TypeScript - API - TailwindCSS - daisyUI
Web application that generates a random meal recipe. The project demonstrates the use of Next.js and TypeScript. UI components are written in React and are styled using TailwindCSS together with daisyUI is used for themes and some predefined styles. The data for the recipes is fetched from TheMealDB API using a custom fetch hook that is implemented with the FetchAPI. The application is a PWA (Progressive Web App) and has Dark Mode.
TV Shows and Actors Service
Java - Spring Boot - MySQL - AWS - Rest API
Microservice project that enables the management of TV shows and their actors. The service follows the RESTful architecture and uses a MySQL database. The whole service is deployed on Amazon Web Services (AWS) using the RDS for the database and Elastic Beanstalk for the deployment of API.