It is a fullstack application which uses Spring Boot along with React JS and Tailwind CSS. The application allows authenticated persons to add students and also to validate their data, based on their passport. For this, it uses Azure’s Form Recognizer. Also, the application is partially tested using Mockito.

This application is a fullstack TODO application where at the backend I’ve used Spring Boot and at the frontend React JS (with Chakra UI component library). The application allows all the CRUD operations for TODO items. It also uses Spring Secu- rity (authentication and authorization). Design and architectural principles were applied.

This application is partially implemented, yet it is functional. It uses the IGDB API for fetching video games. These games are then used for trading purposes, along the application's users. The app also provides minor chat support which is based on HTTP protocol.

This project was made at a company named The It Solutions Bv., where I was an back- end developer intern. This eases the steps of adding time stamps to Zoho People. It communicates with Zoho People API, and is partially tested. It also has a frontend (written in React JS) and a backend (using Spring Boot).

This little game was made for a class in my bachelor’s degree, by my collegue and me. It is a simple game, where a car is racing on a track, but not by using exact commands, but by reinforcement learning. This feature is implemented using Unity’s reinforcement learning featureset.

This project is a Reinforcement learning based game made in Unity, where the player (skeleton) has to find the treasure chest without getting caught by the hunter (mummy).
It uses Unity's reinforcement learning utilities.

In this research, I've developed a binary classification model, which can predict the data quality of an optical disk based on some pictures taken of its back side, with a precision over 70%. While developing, I've combined several machine learning tehcnologies like scikit-learn, keras and many others.