I'm a fourth-year Computer Science student at the Silesian University of Technology in Poland, with a strong focus on machine learning, deep learning, and data-driven applications. I love transforming raw data into meaningful insights and building intelligent systems that solve real-world problems.

• Passionate about AI — applying deep learning to challenges
• Experienced in end-to-end ML pipelines — from data preprocessing to model evaluation
• Building well-structured Python applications with clean architecture and thorough testing
• Currently exploring neural networks for dynamical system identification

Deep learning pipeline for classifying Alzheimer's disease stages from brain MRI scans

• Built a custom CNN (Convolutional Neural Network) with PyTorch for multi-class image classification
• Classifies MRI scans into 4 dementia severity stages (Non-Demented → Moderate Demented)
• Validated with 5-Fold Stratified Cross-Validation and Early Stopping mechanisms
• Generated comprehensive visualizations: confusion matrices, ROC curves, training curves, and prediction grids

Python PyTorch CNN Computer Vision Medical AI scikit-learn Matplotlib Seaborn

Neural network for predicting stroke likelihood based on patient health records

• Designed a feed-forward neural network for binary classification using PyTorch
• Performed full data preprocessing pipeline: missing value imputation, label encoding, feature scaling
• Trained on the Healthcare Dataset with demographic and clinical features (age, BMI, glucose, smoking status)
• Evaluated with binary accuracy metrics via torchmetrics

Python PyTorch Neural Networks Healthcare ML Pandas scikit-learn imbalanced-learn

Full-stack parcel management application with AI voice control and email notifications

• Architected a layered system with Repository pattern, validators, converters, and service layer
• Integrated OpenAI GPT for natural language understanding and ElevenLabs for text-to-speech
• Implemented SMTP email notifications for real-time delivery tracking
• Built a comprehensive test suite with pytest covering all modules (validators, repositories, services)
• Enforced type safety with Pyright and Mypy static analysis

Python OpenAI API ElevenLabs Speech Recognition SMTP pytest Clean Architecture

Using neural networks for identification and modeling of dynamical systems

Python PyTorch Time Series Dynamical Systems