Data scientist & NLP researcher · Warsaw
Explainable multimodal LLMs · applied ML · open-source research tooling
I study Data Science (MSc) at Warsaw University of Technology — BSc with honors. I care about making multimodal LLMs explainable and turning research into tools people can actually install and reuse.
Most of my recent work sits at the intersection of NLP, Shapley-value XAI, and practical data science. I previously built Botuj (AI chat + voice); I’m no longer actively developing it.
Roles & experience → LinkedIn
- Extending nlp-shap — Shapley-style explainability for text / multimodal models
- Preparing the ACL 2026 System Demonstration for mllm-shap
- Open to chats about XAI, reproducible AutoML, and local LLM tooling
| Project | What it is | |
|---|---|---|
| Flagship | nlp-shap · docs · PyPI | Shapley-style explainability library for NLP / multimodal LLM pipelines |
| Tools | lm-studio-dash | Dashboard for local LM Studio usage, hardware, and chat analytics |
| Tools | AutoPrep · PyPI | AutoML preprocessing, explainability, and LaTeX reporting |
| Archive | MLLM-Shap | Thesis / ACL predecessor of nlp-shap |
| Coursework | Galaxy-Images-Clustering | Clustering low-resolution galaxy images (WUT) |
mllm-shap: A Shapley Value Explainability Platform for Text-Audio Multimodal Large Language Models
ACL 2026 System Demonstrations — with Jakub Muszyński & Maria Ganzha
Attribution for text–audio multimodal LLMs: modality-aware masking, multi-turn conversation tracking, and phonetic audio grouping.
nlp-shap · MLLM-Shap · Zenodo · DOI · ORCID
Cite
@software{pozorski2026mllmshap,
author = {Pozorski, Pawe{\l} Dominik and Muszy{\'n}ski, Jakub Mi{\l}osz and Ganzha, Maria},
title = {mllm-shap: A Shapley Value Explainability Platform for Text-Audio Multimodal Large Language Models},
year = {2026},
publisher = {Zenodo},
doi = {10.5281/zenodo.19678283},
url = {https://zenodo.org/records/19678283}
}| Education | MSc Data Science @ WUT · BSc with honors |
| Built | Botuj — AI chat + voice support |
| Cert | SnowPro Core |
| Based in | Warsaw |
Python
PyTorch
scikit-learn
Transformers
FastAPI
SQL
Snowflake
Docker
Streamlit
