π Hi! I'm a passionate AI engineer driven by solving complex data challenges. I specialize in anomaly detection, continual learning, and deep learning, with experience in satellite data analysis, quantum computing, and AI in education. My goal is to contribute to cutting-edge AI research and drive technological advancements.
- MSc in Data Science (03.2025 β Present) | Silesian University of Technology
- BSc in Computer Science (10.2021 β 02.2025) | Silesian University of Technology
- Thesis: Continual Learning for Satellite Data Analysis (Grade: 5.0/5.0)
- Languages & Tools: Python (PyTorch, TensorFlow, Keras, Scikit-learn, NumPy, Pandas, Matplotlib), C++, Java, SQL, Linux, Git
- Machine Learning & AI: Anomaly Detection, Time Series Analysis, Deep Learning, Continual Learning, Computer Vision
- Software Development: OOP, UML, MySQL
- Rockwell Automation | Machine Learning Engineer, Internship (11.2024 β Present)
- Anomaly Detection in Telemetry Data (PLC), Deep Learning, Digital Twins, Pump Cavitation
- KP Labs | Machine Learning Engineer, Internship (07.2024 β 08.2024)
- Anomaly Detection in Telemetry Data, Computer Vision, Autoencoders
- π HackYeah 2024 Winner (IBM Quantum AI) β Europeβs largest stationary hackathon
- π₯ BIT Festival Hackathon 2023 β First place for data analysis and algorithm design
- π Rockwell Automation Scholarship β Best engineering thesis award
- π NTDD Intel x Perspektywy Scholarship
- π SkillUp 2024 Google Mentoring Program
- Continual Learning for Satellite Data Analysis (Research & Scientific Paper in Progress)
- Deep Learning for Aortic Arch Calcification Detection (Research & Scientific Paper in Progress)
- Histopathological Image Classification (GitHub Repo)
- Autonomous Mobile Robot for Obstacle Avoidance (GitHub Repo)
- VigenΓ¨re Cipher β Cryptanalysis & Decryption (GitHub Repo)