Javier Zaurin
Staff Machine Learning Engineer at Baton Corporation
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolJavier Zaurin is a Staff Machine Learning Engineer based in London with over 20 years of research and industry experience and 11 years focused in commercial ML roles, specializing in recommendation systems and NLP across fashion, retail, insurance, automotive, gaming and web3. He transitioned from a decade in academia (PhD in Astronomy & Astrophysics) to lead ML teams and build production-grade models, recently tackling RecSys and moderation for crypto applications. Javier is the creator and main maintainer of the pytorch-widedeep open-source library, with a JOSS publication highlighting its practical impact on wide-and-deep modelling. Known for bridging deep technical expertise with product thinking, he combines hands-on model engineering, open-source stewardship and cross-domain forecasting and synthetic-data experience to move prototypes into scalable services.
11 years of coding experience
16 years of employment as a software developer
Degree & Master's Theoretical Physics, Degree & Master's Theoretical Physics at Universidad de ZaragozaDoctor of Philosophy (Ph.D.) Astronomy and Astrophysics, Doctor of Philosophy (Ph.D.) Astronomy and Astrophysics at The University of Sheffield
Spanish, English
Github Skills (157)
parallel10
python10
deep-learning10
tabular10
r10
sublime-text10
multimodal10
gradient10
gradient-boosting10
lightgbm10
kaggle10
classification10
multimodal-deep-learning10
kafka-python10
decision-tree10
Programming languages (9)
Github contributions (5)
jrzaurin/pytorch-widedeep
Oct 2017 - Jan 2023
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
Contributions:27 releases, 16 reviews, 512 commits in 5 years 3 months
multimodal-deep-learningpytorchtabularpythondeep-learning
jrzaurin/RecoTour
May 2018 - Oct 2021
Contributions:248 commits, 268 pushes, 1 branch in 3 years 5 months
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