Summary
Roman Slipchuk is an MLOps Data Engineer with a decade of hands-on data and engineering experience and over 15 years in field service roles, now applying that operational rigor to data pipelines and model deployment at Sberbank. He combines deep practical skills in Python, SQL, Docker, Airflow/Prefect, cloud (AWS/GCP) and observability with a background in customer-facing problem solving, negotiation and service process redesign that repeatedly boosted team efficiency. Roman has a track record of turning messy operational workflows into scalable systems—examples include halving service paperwork and creating CRM-driven maintenance workflows that doubled service sales. Equally at home in EDA and statistical modeling as in CI/CD for ML, he is focused on bridging data science and production reliability. Based in Moscow and continuously learning, he brings a rare blend of lab-precision from a chemistry background and production-first MLOps practice.
10 years of coding experience
12 years of employment as a software developer
Специалист, Кафедра химии твердого тела, Специалист, Кафедра химии твердого тела at Novosibirsk State University (NSU)
Специалист, Химия, Специалист, Химия at Новосибирский Государственный Технический Университет (НГТУ) / Novosibirsk State Technical University (NSTU)
English