A machine learning-based classifier designed to identify cancerous skin lesions with high accuracy. The project uses a dataset of dermoscopic images, preprocessing with OpenCV, and a TensorFlow model for classification. Achieved a sensitivity of 92% on test data.

Tools: Python, TensorFlow, Keras, OpenCV, Matplotlib

An interactive bot for managing RPG sessions, music playlists, and reminders. Includes real-time dice rolls, session logging, and resource tracking. Deployed on a own server server with continuous integration for updates.

Tools: Python, Discord API, Server Menagment, SQLLite

A sensor-equipped vest capable of analyzing ECG, oximetry, and body temperature. Built with Arduino microcontrollers and sensors, it streams data to a mobile app for visualization and storage.

Tools: Arduino, USB OTG, Java (Android), MATLAB

A Steam mod for Barotrauma, adding deployable turrets to enhance gameplay. Developed modular components for custom weapons and AI target prioritization. Subscribed over 400 times.

Tools: XML, Barotrauma, Unity

Check out the mod on Steam.

A scientific research project conducted under the supervision of Professor Arkadiusz Giertych as part of the BioSoft Scientific Circle. The project focused on the clinical detection of histopathological changes in lung adenocarcinoma using machine learning methods. Developed algorithms in Python and MATLAB were applied for quantitative profiling of immune response in histopathological images.

Tools: MATLAB, Machine Learning

Funded under the 2nd edition of the "Initiative of Excellence – Research University" program in 2020.

For more information, refer to the article on PubMed.