Summary
Irynei Baran is an ML infrastructure engineer with 10 years of experience building production-ready machine learning systems and bridging research to production. With an MSc in Artificial Intelligence from Ukrainian Catholic University, he has led MLOps efforts across startups—architecting CI/CD-driven model lifecycles, real-time and serverless inference, and AI-agent orchestration for document issue detection. He has hands-on experience creating end-to-end ML platforms including annotation, GPU workflows, and scalable video ingestion, and has driven rapid deployment pipelines that cut model rollout to minutes. Comfortable both coding and interviewing across data, software, and MLOps domains, he combines backend engineering roots with practical ML systems design honed at companies from DataRobot to PiñataFarms AI. Based in Ukraine, he brings a pragmatic focus on reliability and speed, often translating research prototypes into maintainable production services.
10 years of coding experience
8 years of employment as a software developer
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at Ukrainian Catholic University
Bachelor of Applied Science (B.A.Sc.) Computer Science, Bachelor of Applied Science (B.A.Sc.) Computer Science at Ivan Franko National University of Lviv
English