Summary
Egor Dmitriev is an MLOps engineer with 11 years of experience blending data engineering, backend development, and machine learning operations across Dutch industry and academia. He holds a Master’s in Algorithmic Data Analysis from Utrecht University and has built production data platforms using Python, Spark, Docker, GCP, and orchestration patterns for automated model and data pipelines. At Alliander and Luminis he focuses on operationalizing ML, while prior roles at Experius and Utrecht University showcase deep experience with ETL, knowledge graph bias analysis, and scalable RDF/SPARQL integrations. Comfortable moving between low-level system plumbing and statistical modeling, Egor brings a research-informed approach to pragmatic, production-ready MLOps solutions. A detail that sets him apart is his hands-on work automating large linked-open-data imports and bias analysis on massive knowledge bases.
11 years of coding experience
6 years of employment as a software developer
Master's degree Algorithmic Data Analysis, Master's degree Algorithmic Data Analysis at Utrecht University
Pre-University Education (VWO Atheneum) Nature and Science (Natuur en Techniek), Pre-University Education (VWO Atheneum) Nature and Science (Natuur en Techniek) at Cals College Nieuwegein
Dutch, Russian, English