Vladimir Zhbanko is an engineer and industrial data scientist with nine years of experience applying data-driven methods, digital twins, and AI to optimize highly regulated manufacturing—especially FMCG and pharmaceutical packaging. He has led global CAPEX and operational excellence programs at Tetra Pak and Nestlé, delivering CHF 2.6M in savings, stabilizing aseptic sterilization processes, and rescuing critical equipment through FMEA, DoE and modeling. As a consultant and GLG expert he designs Packaging OS concepts and Agentic AI/RAG pipelines that embed regulatory knowledge (PPWR, GS1) into operational workflows while keeping sensitive data isolated via local LLMs and containerized deployments. Vladimir combines hands-on engineering (even retyping PLC code to revive equipment) with practical analytics (Python, R, SQL, Power BI) to reduce waste, improve safety and support export compliance. He also creates learning content as a Udemy instructor, making complex topics like anomaly detection and containerization accessible to practitioners.
9 years of coding experience
16 years of employment as a software developer
Master's degree, Chemical Technology Engineering, Master's degree, Chemical Technology Engineering at Mendeleyev University of Chemical Technology of Russia
English, Russian, Italian, Spanish, French, German
Reading and matching Macroeconomic events and Forex news
Contributions:39 commits, 33 pushes, 1 branch in 4 years 7 months
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Vladimir Zhbanko - Independent Research & Innovation