Summary
Vadzim Piatrou is a Senior Data Scientist with 11 years of experience specializing in computer vision and natural language processing, currently applying graph neural networks to multimodal document understanding at Accuris. He combines a strong academic foundation—MSc and PhD in theoretical physics and several peer-reviewed papers—with hands-on R&D that produced patented object-detection solutions for X-ray scanners. Vadzim has led small research teams and delivered production-grade systems for document grouping, AI chat for technical documents, face analytics, and tabular QA, often working with very large, messy datasets. A Kaggle Competitions expert and lifelong learner who augments formal degrees with online coursework, he’s comfortable moving ideas from prototype to deployed product while exploring non-obvious crossovers between physics, graph models, and unstructured-data extraction.
11 years of coding experience
17 years of employment as a software developer
Магистр Теоретическая физика, Магистр Теоретическая физика at Belarusian State University
Физико-математический профиль, Физико-математический профиль at Лицей при ПГУ (г. Новополоцк)
Massive open online courses
Doctor of Philosophy (PhD) Theoretical Physics, Doctor of Philosophy (PhD) Theoretical Physics at The National Academy of Sciences of Belarus
Русский, Белорусский, Английский, Polish