CV

Curriculum vitae

Contact Information

Name Jakub Grzywaczewski
Professional Title Research Software Engineer & Data Scientist
Email jakubzgrzywaczewski@gmail.com
Phone +48 790 200 186
Location Warsaw, Poland

Professional Summary

Research Software Engineer at the Centre for Credible AI (CCAI) and MSc student in Mathematics and Information Science at Warsaw University of Technology, where I also graduated with honors in Data Science engineering. I focus on explainability of deep learning models using generative models, including diffusion models. Presented a scientific paper at ICLR 2025 and getting ready to present another one at ICML 2026. Former Python Developer at Samsung Research, where I worked on NLP projects and internal tooling.

Experience

  • 10.2025 - present

    Warsaw, Poland

    Research Software Engineer
    Centre for Credible AI (CCAI)
    Working on projects pushing the frontier of explainable AI, including practical application of generative AI for model validation and vision model depoisoning.
    • Explained decision-making process of deep learning models using generative and diffusion models
    • Co-authored a scientific paper which was accepted for ICML 2026
  • 6.2024 - 10.2025

    Warsaw, Poland

    Research Software Engineer
    MI2
    Worked on explainability of deep learning models using generative and diffusion models.
    • Co-authored and presented a scientific paper at ICLR 2025
  • 8.2022 - 6.2024

    Warsaw, Poland

    Python Developer
    Samsung Research
    Worked on NLP research projects and developed internal CLI and web tools for data processing.
    • Developed and maintained NLP pipelines from both research and implementation perspectives
    • Built internal CLI and web tools for data processing
    • Completed time management training and applied PRINCE2 methodology basics

Education

  • 2025 - present

    Warsaw, Poland

    MSc
    Warsaw University of Technology
    Data Science
  • 2021 - 2025

    Warsaw, Poland

    BSc(Eng)
    Warsaw University of Technology
    Data Science

Publications

2026

  1. CLIP.png
    Your CLIP has 164 dimensions of noise: Exploring the embeddings covariance eigenspectrum of contrastively pretrained vision-language transformers
    Jakub Grzywaczewski, Dawid Płudowski, and Przemysław Biecek
    arXiv preprint arXiv:2605.14893, 2026
  2. SHNAP.png
    Auditing Sybil: Explaining Deep Lung Cancer Risk Prediction Through Generative Interventional Attributions
    Bartlomiej Sobieski, Jakub Grzywaczewski, Karol Dobiczek, and 6 more authors
    In The Forty-Third International Conference on Machine Learning, 2026

2024

  1. RCVE.png
    Rethinking visual counterfactual explanations through region constraint
    Bartlomiej Sobieski, Jakub Grzywaczewski, Bartłomiej Sadlej, and 2 more authors
    In The Thirteenth International Conference on Learning Representations, 2024

Skills

Data Science: Python, NumPy, Pandas, Jupyter, Scikit-learn, PyTorch (Fabric), Transformers, SHAP, vLLM, Ray, ONNX, R, Tidyverse
Deep Learning & AI: Neural Networks, Generative Models, Diffusion Models, Explainable AI, Computer Vision, NLP
Databases: PostgreSQL, MySQL, MS SQL Server, Redis, Hadoop
Compute & Cloud: SLURM, Kubeflow, GCP, Kubernetes
Web & Mobile: JavaScript/TypeScript, Vue, Svelte, Dart (Flutter), Flask, FastAPI, Axum (Rust)
DevOps & Tooling: Git, Linux, Vim, Jenkins, GitHub Actions, Rust, Java, TeX

Languages

Polish : Native speaker
English : C1 Proficient

Interests

Generative Models for Explainable AI: Generative AI, Diffusion Models
Explainable AI: Model Validation, Interpretability, Depoisoning
Mathematics: Probability, Statistics, Linear Algebra
Hobbies: Ping-pong, Music, Cooking