Łukasz Borchmann
Staff Research Scientist at Snowflake
Greater Poland Voivodeship
Summary
👤
Senior🎓
Top SchoolŁukasz Borchmann is a Staff Research Scientist with over a decade of ML research experience and 15+ years in software engineering, specializing in LLMs, LVLMs and multimodal document understanding. He built novel neural architectures and inference methods—work rooted in a 2022 PhD that prefigured many GenAI trends—and now applies that research to in-house LLMs and text-to-code at Snowflake. His background spans academia and industry, from fighting disinformation with ML at Adam Mickiewicz University to leading deep learning teams that automated business processes from unstructured text. Practical, research-driven, and curious, he blends linguistics training with production-focused engineering to tackle problems where language meets systems.
10 years of coding experience
2 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at Politechnika PoznańskaMA, Linguistics, MA, Linguistics at Uniwersytet im. Adama Mickiewicza w Poznaniu
Polish, English
Stackoverflow
143reputation
7kreached
2answers
1question
Github Skills (72)
python10
deep-learning10
3d10
rendering10
statistics10
transformer10
nlp10
webgl10
sequence-labeling10
tensorflow10
natural-language-processing10
packed10
pytorch10
named-entity-recognition10
machine-learning10
Programming languages (2)
Github contributions (5)
applicaai/poleval-2018
Sep 2018 - Jan 2021
Code and data accompanying the paper "Approaching nested named entity recognition with parallel LSTM-CRFs."
Contributions:8 commits, 4 PRs, 6 pushes in 2 years 4 months
pytorchnlpnamed-entity-recognitionentity-recognitionparallel
Borchmann/Babylon.js
Jun 2017 - Oct 2019
Contributions:3 pushes in 2 years 4 months
game3d-gamesgameswebgljavascript-framework
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