Oleg Urzhumtsev is a Machine Learning Engineer with 12 years of experience building pragmatic, reliable AI systems and data-driven products from research to production. He has applied his Scala and Python expertise across startups and enterprises—bringing large generative models into production at Social Discovery Ventures and now designing AI-enabled products at Cayosoft. His background spans linguistic engineering and translation systems (PROMT, Skuuper) through to MLOps and applied research roles, giving him a rare blend of language-first modeling intuition and production-grade engineering. Based in Yerevan, he favors “pretty and reliable” solutions over brittle, monolithic systems and often bridges academic research with hands-on product delivery.
12 years of coding experience
18 years of employment as a software developer
Bachelor of Arts (B.A.), Linguistics, Bachelor of Arts (B.A.), Linguistics at Санкт-Петербургский Государственный Университет
MSc, Information Technology, MSc, Information Technology at Skolkovo Tech
Master, Technological Enterpreneurship, Master, Technological Enterpreneurship at Санкт-Петербургский Государственный Университет Информационных Технологий, Механики и Оптики (Университет ИТМО)
Hong Kong University of Science and Technology (HKUST)
n/a, Prognostics, futule modelling, N/A, n/a, Prognostics, futule modelling, N/A at Open University Skolkovo
English, Russian, German, French, Japanese, Hebrew, Serbian
Moses Suite will help NLPer to setup a tool chain for training moses-smt engine and a website to manage all the things.
Contributions:1 PR, 2 pushes, 1 comment in 3 years 5 months
nlpsmtall-the-thingstrainingchain
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