Pavlin Gergov is an MLOps Engineer with 11 years of software engineering experience, currently shaping machine learning deployment and operational practices for Financial Times Sofia. He has a strong background in building ETL pipelines, CI/CD, and scalable analytics platforms from roles in quantitative finance, document classification, and event management. Pavlin frequently bridges data science and engineering, integrating ML models into production while streamlining workflows and automation. He has led teams and rearchitected systems to shift organizations from repetitive operational work to strategic, efficiency-driven development. Based in Sofia, he combines a technical foundation in medical physics with hands-on software delivery and maintains an active GitHub presence that reflects his engineering-first approach. A not-obvious strength is his history as a programming instructor, which informs his mentorship and clear technical communication across multidisciplinary teams.
11 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree Medical Physics, Bachelor’s Degree Medical Physics at Sofia University St. Kliment Ohridski
Contributions:2 PRs, 25 pushes, 2 branches in 6 years 7 months
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