Bartosz Grabek — Data Scientist & Machine Learning Engineer
Bartosz Grabek is a Data Scientist and Machine Learning Engineer based in Warsaw, Poland,
specializing in Natural Language Processing (NLP), large language models (LLMs), computer
vision, and big data. He builds production ML systems and conducts applied AI research.
Experience
- Machine Learning Engineer, GreenHive Technology (Żabka Group), Aug 2025 – Present — sales-prediction models and causal AI.
- Junior Data Scientist, Samsung Research Poland, Jul 2023 – Jul 2025 — Big Data NLP for ASR, LLM integration and prompt engineering for the Bixby voice assistant.
- Advanced Data Analytics Intern, Polpharma, Sep – Oct 2022 — ETL optimization, SQL EDA, Azure migration, Power BI.
Education
- M.S. in Data Science, Warsaw University of Technology (2023–2025).
- B.S. in Computer Science, University College London (UCL) (2020–2023).
Skills
Python, JavaScript, PyTorch, scikit-learn, NumPy, Pandas, SQL, SpaCy, NLTK, LLMs,
Django, Flask, Docker, Jenkins, Apache Spark/Kafka/Beam, Google Cloud, MS Azure, Git.
Selected Publications
- “How to Make Museums More Interactive? Case Study of Artistic Chatbot” — CIKM 2025, Seoul. arXiv
- “Evaluating LLM-Generated Q&A Test: a Student-Centered Study” — AIED 2025, Palermo. arXiv
- “Applications and Challenges of Artificial Intelligence in Educational Course Design and Delivery” — FEDCSIS 2025, Cracow.
Selected Projects
Contact & Links