Daniel Mątwicki
Data Scientist
Gdańsk, Pomeranian Voivodeship, Poland
Summary
👤
Senior🎓
Top SchoolDaniel Mątwicki is a Data Scientist with eight years of experience building production-ready machine learning and deep learning systems, currently at Addepto in Gdańsk. He has a strong track record in speech and NLP solutions from roles at Amazon and Zurich Insurance, including deploying LLM-agent pipelines with LangChain/LangGraph and Azure Functions and extracting document hierarchies from unstructured PDFs. His background spans low-level C/C++ deep learning work, cloud-native deployments, and research-driven model engineering for efficient, low-power speech vocoders. An organizer and board member in the AI community, he co-founded an AI-focused hackathon and helped run a university AI club, reflecting a passion for teaching and collaboration beyond day-to-day engineering. Known for being ambitious, organized and self-motivated, he combines hands-on implementation with a curiosity for new techniques across production and research.
8 years of coding experience
6 years of employment as a software developer
Engineer's degree Informatics, Engineer's degree Informatics at Gdańsk University of Technology
Github Skills (9)
machine-learning10
deep-learning10
tensorflow10
python10
data-science9
ml9
deep-neural-networks9
neural-network9
gradient1
Programming languages (4)
Github contributions (5)
Keezuu/GANdalf
May 2019 - Sep 2019
Contributions:122 commits, 73 pushes, 1 branch in 3 months
Jkeezuz/Neural-Style-Transfer-PyTorch
Jan 2020 - May 2020
A PyTorch implementation of "A Neural Algorithm of Artistic Style" paper by Gatys et. al
Contributions:6 PRs, 32 pushes, 4 branches in 4 months
pytorchstyle-transferdeep-learningartisticneural-algorithm
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