Professional Experience πΌ
ποΈ Sep 2024 β Feb 2025 Β· TΓΌbingen, Germany π©πͺ
Applied Scientist Intern at Amazon (AWS AI)
Worked on large language model optimization and inference acceleration techniques, with a focus on speculative decoding. The internship was focused on enhancing leading speculative decoding frameworks with conditional computation techniques. The insights from the project contributed to the production team for large-scale 405B model deployment.
ποΈ Oct 2022 β Present Β· Warsaw, Poland π΅π±
PhD Researcher at IDEAS NCBR, ELLIS Unit
PhD researcher at a leading Polish AI institute, focusing on efficient deep learning techniques such as activation sparsity, adaptive computation, mixture-of-experts architectures, continual learning, and knowledge distillation. Research at IDEAS led to multiple publications in top-tier conferences and journals.
ποΈ Apr 2020 β Sep 2021 Β· Warsaw, Poland π΅π±
AI Engineer at Sages
Designed and implemented AI solutions to automatically adapt digital documents for visually impaired users, enhancing accessibility and usability. Focused on OCR and NLP techniques for efficient document content processing.
ποΈ Jul 2019 β Mar 2020 Β· Warsaw, Poland π΅π±
NLP Intern at Samsung R&D Institute
Optimized deep learning models for mobile devices using the TensorFlow Lite framework, employing techniques such as knowledge distillation and model compression for efficient NLP libraries. Trained and deployed BERT models in multiple European languages, contributing to one of the earliest such implementations. Developed a document anonymization pipeline leveraging state-of-the-art text classification models and assisted in preparing a weekly newsletter summarizing the latest NLP research.
ποΈ Jul 2018 β Sep 2018 Β· Warsaw, Poland π΅π±
Computer Vision Intern at Light Production
Worked on classical computer vision algorithms to automate tasks in TV show production as part of a university summer internship program.
Other Achievements π
ποΈ 2025β2026 Β· Poland π΅π±
Principal Investigator β PRELUDIUM Grant, Polish National Science Center
Ranked 2nd nationwide among machine learning projects in 2024.
ποΈ 2022β2026 Β· Poland π΅π±
Co-author and PhD Student β OPUS Grant proposal on dynamic neural networks, Polish National Science Center