Andrei Sili

Machine Learning Engineer at UiPath

Bucharest, Romania
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Summary

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Andrei Sili is a Machine Learning Engineer based in Bucharest with 10 years of experience building deep learning solutions for computer vision and document information extraction. At UiPath he develops production-ready models for semi-structured document understanding and previously created demand forecasting systems and led internal AI workshops. His background spans end-to-end ML product work—researching novel architectures for long-term action prediction at Qlouder in collaboration with the University of Amsterdam, extending data pipelines on Google Cloud, and shipping web APIs and automation tools. He combines solid academic training (MSc in Artificial Intelligence, University of Amsterdam) with practical engineering from front-end web development to cloud-native ML deployments. Notably, he has taught large classroom workshops and bootcamps, reflecting an aptitude for translating complex technical topics to diverse audiences.
code9 years of coding experience
job3 years of employment as a software developer
bookNational College of Computer Science "Tudor Vianu"
bookMaster's degree, Artificial Intelligence, 7.7, Master's degree, Artificial Intelligence, 7.7 at University of Amsterdam
bookBachelor's Degree, International Business, 9.17, Bachelor's Degree, International Business, 9.17 at Erasmus University Rotterdam
languagesRomanian, English
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Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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janaleible/hotpotQA-ir-task

Nov 2018 - Dec 2018

Contributions:144 commits, 1 comment in 1 month
Contributions:84 PRs, 217 pushes, 16 branches in 5 months
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Andrei Sili - Machine Learning Engineer at UiPath