Summary
Oleg Suzdalev is a solutions engineer with 9 years of experience building one-click, industrial automation workflows that combine machine control, ML, and computer vision for semiconductor, materials science, pharma, and academia. With a Ph.D. in Control Theory and Automation and a research record on adaptive backstepping for nonlinear systems, he translates advanced control theory into robust, deployable automation—most notably automated eucentric alignment for TEM lamella preparation and a SPAS/SRD solution that helped secure a sale to Samsung Memory. Comfortable across software and hardware stacks, he has shipped cloud and on-instrument imaging pipelines while working in international teams across France, Germany, China, Russia and now South Korea. Multicultural and multilingual (French, English, Russian, plus basics of Chinese and Italian), he leverages global customer insights to tailor high-precision, time-saving solutions that reduce manual intervention and broaden access to specialized microscopy workflows.
9 years of coding experience
1 year of employment as a software developer
Doctor of Science, Control Theory and Automation, Doctor of Science, Control Theory and Automation at ITMO University
Licentiate degree, Musicology and Ethnomusicology, Licentiate degree, Musicology and Ethnomusicology at Université Paris-Sorbonne
European Baccalaureate, Science, European Baccalaureate, Science at European School of Strasbourg
IGCSE, IGCSE at Yew Chung International School
French, English, Chinese, Russian