CV

• 2025 - present

  Warsaw, Poland

  Research Software Engineer

  Centre for Credible AI (CCAI)

  Working on projects pushing the frontier of explainable AI, including model validation with Generative AI.

  • Co-authored a scienctific paper on explaining the decision-making process of deep lung cancer models using generative/diffusion models. Results were accepted for ICML 2026

• 2024 - 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

• 2022 - 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 (automatic, CLI, Web) for both research and production
  • Completed time management training and applied PRINCE2 methodology basics

• 2025 - present

  Warsaw, Poland

  MSc

  Warsaw University of Technology

  Data Science

• 2021 - 2025

  Warsaw, Poland

  BSc(Eng)

  Warsaw University of Technology

  Data Science

• Serolyzer (PvSTATEM)

  an R package for automated analysis of serological data, currently used in the PvSTATEM global iniciative

  • Currently maintaining the package, implemented parsing methods for many MBA data format
  • Desinged and implemented a Shiny Application for non-technical users

• shrinkr

  High Performance Open-Source Python+C package for Covariance Matrix shrinkage and LDA

  • Implemented novel covariance shrinkage methods in C, with bindings in Python

My journey with programming began in 2017 when I taught myself basic C++. Over the years, my dedication and hard work have significantly expanded my skill set. In 2022, I joined Samsung Research as a Python Developer. My interest in machine learning was quickly recognized, and I have contributed to numerous Natural Language Processing (NLP) projects, both in research and implementation. Additionally, I developed internal command-line interfaces (CLI) and web tools for data processing. For nearly two years, I worked as a Research Software Engineer at MI², where I focused on explaining the decision-making processes of deep learning models using generative models, including diffusion models. This role also allowed me to present a scientific paper at the prestigious International Conference on Learning Representations (ICLR) in 2025. Currently, I am working with the Centre for Credible AI in Warsaw. Here, I am extending methods for model validation into medical and space domains, while also deepening my knowledge in contrastive learning models. Beyond my professional and academic pursuits, I served as the Vice President of the Mathematics Science Club.