Pawel Budzianowski

Co-Founder at Lute

Redwood City, California, United States
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Summary

👤
Senior
🎓
Top School
Pawel Budzianowski is a seasoned ML leader and advisor based in Redwood City, California, with 9 years of experience shaping research-to-product in conversational AI and embodied systems. He served as Head of Machine Learning at PolyAI, overseeing research and productization, and currently advises Proception.AI, leveraging a track record of building and leading ML and software teams. As a co-founder of K-Scale Labs, he is advancing open-source humanoid platforms and a new software stack for locomotion and manipulation. He earned a PhD in Machine Learning for Statistical Dialogue Systems from the University of Cambridge and teaches NLP in master's programs at University of Warsaw and Jagiellonian University. An active open-source contributor, his work on the MultiWOZ dialogue model and evaluation tooling demonstrates his ability to translate research into robust, production-ready systems.
code10 years of coding experience
job5 years of employment as a software developer
bookUniversity of Cambridge
languagesPortuguese, Polish, English
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Github Skills (12)

machine-learning10
eval10
dialogue-systems10
python10
evaluation10
seq2seq10
natural-language-processing10
data-processing9
tensorflow9
tensor-flow9
tensorflow29
pytorch9

Programming languages (8)

TypeScriptMDXC++RustCHTMLJupyter NotebookPython

Github contributions (5)

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budzianowski/multiwoz

Oct 2018 - Jul 2021

Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)
Role in this project:
userML Engineer
Contributions:2 reviews, 45 commits, 16 PRs in 2 years 9 months
Contributions summary:Pawel primarily focused on improving the evaluation process for the dialogue model. They refactored and updated the evaluator, fixing evaluation problems. This included making adjustments to the evaluation metrics and fixing issues within the testing framework. The commits also include updates to test files and the addition of `tqdm` for delexicalization, indicating work on data processing and model assessment.
nlptransformer-architecturedialogue-managerend-to-endseq2seq
kscalelabs/sim

Apr 2024 - Mar 2025

Training in simulation
Contributions:102 reviews, 133 PRs, 317 pushes in 11 months
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