Arthur Wilcke
Principal Applied Scientist at UiPath
England, United Kingdom
Summary
👤
Senior🎓
Top SchoolArthur Wilcke is a Principal Applied Scientist with a decade of hands-on experience applying deep learning and ML research to production products, currently leading applied science at UiPath. Trained in AI and Mathematics at Edinburgh and completing an MSc in Machine Learning at Imperial, he has translated academic advances—ResNets, center loss, multi-domain learning—into practical computer vision and NLP solutions across startups and scale-ups. At Re:infer he bridged research and engineering to ship ML systems for real-world text understanding, and his early internships span scientific computing, data analysis, and web-backed tooling, showing a strong foundation in both research and production code. Known for probing the effects of data quality, preprocessing and hyperparameters on model performance, he combines experimental rigor with product-focused deployment. Colleagues describe him as the kind of engineer who reads source code in multiple languages and collaborates across open-source communities to get results.
10 years of coding experience
3 years of employment as a software developer
Master of Science - MS Machine Learning, Master of Science - MS Machine Learning at Imperial College LondonBachelor’s Degree Artificial Intelligence and Mathematics, Bachelor’s Degree Artificial Intelligence and Mathematics at University of Edinburgh
English, German, French, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (27)
python10
machine-learning10
numpy10
deep-learning10
gpu10
autograd10
neural-network10
tensor10
gpu-acceleration10
audio9
nlp8
cli8
command-line-interface8
natural-language-processing8
pytorch8
Programming languages (4)
Github contributions (5)
AWilcke/FBHack17
Mar 2017 - Mar 2017
Contributions:57 commits, 25 pushes, 1 branch in 1 day
joenash/learnhubot
Nov 2016 - May 2020
Contributions:2 PRs in 3 years 5 months
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