Pawel Budzianowski
Co-Founder at Lute
Redwood City, California, United States
Summary
👤
Senior🎓
Top SchoolPawel Budzianowski is a founder and machine learning leader with a decade of experience building embodied AI and conversational systems, currently co-founding Lute in Redwood City to create the robotics workforce of the future. He previously co-founded K-Scale Labs and led ML teams at PolyAI, where he moved research into production and managed both ML and software engineering squads. Pawel holds a PhD in Machine Learning from Cambridge focused on statistical dialogue systems and is a committed educator, having lectured NLP courses at Warsaw and Jagiellonian universities. He is an active open-source contributor—maintainer of the influential MultiWOZ dialogue codebase—who improved evaluators and data processing to make dialogue evaluation more robust. Known for bridging deep research with productization, he combines academic rigor with hands-on system-building for real-world AI and robotics. An interesting non-obvious detail: beyond leadership he has repeatedly taken the engineering lead on core product inceptions, acting as scrum master and primary implementer during critical early stages.
10 years of coding experience
5 years of employment as a software developer
Bachelor's degree Economics, Bachelor's degree Economics at Poznan University of Economics And BusinessDoctor of Philosophy (PhD) Machine Learning Statistical Dialogue Systems, Doctor of Philosophy (PhD) Machine Learning Statistical Dialogue Systems at University of CambridgeMaster of Philosophy (MPhil) Mathematics, Master of Philosophy (MPhil) Mathematics at Uniwersytet im. Adama Mickiewicza w Poznaniu
Portuguese, Polish, English
Github Skills (10)
machine-learning10
eval10
dialogue-systems10
python10
evaluation10
seq2seq10
natural-language-processing10
data-processing9
tensorflow9
pytorch9
Programming languages (8)
Github contributions (5)
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:
ML Engineer
ML EngineerContributions: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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