Summary
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.
9 years of coding experience
3 years of employment as a software developer
National College of Computer Science "Tudor Vianu"
Master's degree, Artificial Intelligence, 7.7, Master's degree, Artificial Intelligence, 7.7 at University of Amsterdam
Bachelor's Degree, International Business, 9.17, Bachelor's Degree, International Business, 9.17 at Erasmus University Rotterdam
Romanian, English