Witold Wydmański
Co-Founder, CTO at Małopolskie Centrum Biotechnologii UJ
Krakow, Lesser Poland Voivodeship
Summary
👤
Senior🎓
Top SchoolWitold Wydmański is a Co-Founder and CTO with nine years of experience building AI-driven products, currently leading development of Gaius-Lex, a startup that automates legal research to deliver answers in under a minute. He combines academic rigor as a PhD student and researcher at Jagiellonian University’s Małopolska Centre of Biotechnology with hands-on ML engineering—contributing to open-source NLP tooling like NL-Augmenter (question paraphrasing modules and filters). His background spans data and algorithm engineering roles in industry (Frozen District, ABB) and founding consumer tech (FlatHub), giving him a pragmatic, product-focused approach to deploying ML in production. Based in Krakow, he also brings an unusual blend of formal music training and systems development, reflecting a discipline for detail and pattern recognition that informs his work.
9 years of coding experience
6 years of employment as a software developer
Piano, Piano at Szkoła muzyczna I stopnia im. Jana KiepuryDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Jagiellonian UniversityBachelor's degree Teleinformatyka, Bachelor's degree Teleinformatyka at AGH University of Krakow
Polish, English, German
Github Skills (8)
nlp10
spacy10
python10
question-answering10
natural-language-processing10
machine-learning9
text-generation9
nltk8
Programming languages (6)
Github contributions (5)
GEM-benchmark/NL-Augmenter
Jun 2021 - Nov 2021
NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations
Role in this project:
ML Engineer
ML EngineerContributions:10 reviews, 36 commits, 5 PRs in 4 months
Contributions summary:Witold primarily contributed to the development of a question paraphrasing module within the NL-Augmenter repository. Their work involved implementing a "suspecting paraphraser" to rephrase yes/no questions, modifying the code to include an auxiliary verb check, as well as adding a filter for yes/no questions. They also implemented a filter to assess the presence of 'or' in the sentence. The user also added a token amount filter.
nlpinformation-theorysentencedeep-learningmachine-learning
wwydmanski/hypernet-cnn
Nov 2021 - Apr 2023
Contributions:1 review, 4 PRs, 19 pushes in 1 year 5 months
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