About

I have finieshed bachelor's studies in bioinformatic's engineering, and I am currently working towards getting my master's degree in "Artificial intelligence and Machine learning" at Lodz University of Technology.

In my engineering thesis, I designed and trained custom convolutional neural networks to investigate and demonstrate the possibility of inferring hip joint degeneration in patients without analyzing the joint itself — but instead by examining surrounding areas such as the pelvis and femur bones.

I'm primarily interested in deep learning and machine learning, particularly in the area of computer vision, though I'm also open to exploring other fields of artificial intelligence. I enjoy expanding my knowledge and working on personal projects to gain a deeper understanding of the concepts I've learned. You can find a selection of my completed projects in the "Projects" section.

My career path

Education

In progress

2025

Master of Engineering in Artificial Intelligence and Machine Learning

Lodz University of Technology, Poland

Familiarity with and practical experience in classical AI methods, machine learning, natural language processing (NLP), image and signal analysis, reinforcement learning, and exploratory data analysis.

2025

2020

Bachelor of Engineering in Bioinformatics

Lodz University of Technology, Poland

Familiarization with fundamental topics related to medicine.
Focus on processing medical data and images using statistical algorithms as well as selected machine learning and deep learning methods.

Work experience

03.2024

09.2023

Image processing engineer

Ecobubble, Italy

During my internship at Ecobubble, I was responsible for creating a deep learning model for segmenting plant images intended for further analysis.
I was involved in the entire process, from acquiring training data and preprocessing it to designing the neural network architecture and training the model.
This work was carried out as part of a six-month Erasmus+ internship.