Piotr Czapla

Co Founder & Solo Developer at Jungle Boogie Studio Zieleni

Wroclaw Metropolitan Area Poland
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Summary

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Senior
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Top School
Piotr Czapla is a seasoned founder and solo developer with 14+ years building production-grade software and shipping applied NLP/LLM solutions across European languages. He co-founded n-waves and Jungle Boogie Studio Zieleni, where he moved research-grade language models into products—invoice parsing, transaction reconciliation and automated content from video—while operating bare-metal e‑commerce and custom ERP stacks. His background spans hands-on system architecture, fast.ai/PyTorch model fine-tuning and distillation, and scaling teams and tooling from one to thirty people, giving him a rare blend of deep technical craft and strategic business judgment. A two-time Polish NLP competition winner and co‑author of EMNLP papers, he pairs academic rigor with pragmatic engineering (IPv6 dual‑stack, k0s/Kubernetes, Ansible/Podman) to keep delivery fast and costs low. Piotr’s interest in strategy (inspired by Rumelt) shapes how he evaluates AI adoption, helping companies avoid expensive tech churn in favor of targeted, practical wins.
code14 years of coding experience
job14 years of employment as a software developer
bookIDOL Essentials, IDOL Essentials at HPE
bookEngineer's degree, Cisco Network Academy, Engineer's degree, Cisco Network Academy at Cisco Network Academy
bookArtificial Intelligence, Artificial Intelligence at MIT Sloan School of Management
book5th High School in Bielsko-Biala
bookMSc, Computer Science, 5, MSc, Computer Science, 5 at Wroclaw University of Science and Technology
languagesPolish, English
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Github Skills (200)

bug-tracker10
datasets10
in-progress10
fastai10
localization10
neural-network10
nlp10
1password10
data-science10
filter10
named-entity-recognition10
math10
sqlalchemy10
password-manager10
python10

Programming languages (15)

C++RustCGoHTMLJupyter NotebookTypeScriptDockerfile

Github contributions (5)

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n-waves/multifit

Nov 2018 - Nov 2019

The code to reproduce results from paper "MultiFiT: Efficient Multi-lingual Language Model Fine-tuning" https://arxiv.org/abs/1909.04761
Contributions:214 commits, 15 PRs, 120 pushes in 1 year
nlplanguage-modelarxivabsmulti-lingual
PiotrCzapla/dotfiles

Nov 2016 - Aug 2020

Contributions:15 pushes, 1 branch in 3 years 10 months
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