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Mikhail Mishurovskiy has a work experience spanning over several companies and roles. Mikhail began their career at UniqueICs as an engineer and sector chief, where they were responsible for coordinating the prototyping of a digital video camera. Mikhail then joined Samsung Electronics as a Part Leader for image and video compression.

Mikhail then transitioned to Samsung Russia R&D Institute, where they held multiple roles including Senior Engineer, Deputy Group Leader, and superior engineer. During this time, they worked on projects related to lightfield compression, quality assessment procedures, and the development of new video compression technologies.

After their tenure at Samsung, Mikhail worked at Intel Corporation as a Research Scientist. Mikhail then joined MTS Group as an Information Technology Architect and later became the Head of the Machine Learning Department.

Mikhail also worked at LUXSOFT as the Chief Architect before joining Huawei as the Head of the video algorithms group. Most recently, they joined 3D Predict as the Head of Research and Development.

Mikhail'smost current position is Chief Project Engineer at the Coleman Group.

Mikhail Mishurovskiy's education history begins in 1996 when they enrolled at the National Research University of Electronic Technology (MIET). Mikhail obtained a Master's Degree in Computer Software Engineering from MIET in 2001. Afterward, they pursued further studies and obtained a Doctor of Philosophy (Ph.D.) in Visual Quality Assessment from the same institution in 2004.

In addition to their formal education, Mikhail has also earned several certifications. In December 2007, they obtained a Six Sigma Green Belt Certification from Samsung. Later, in November 2016, they completed the "Введение в машинное обучение" course from the Higher School of Economics through Coursera, earning a certificate. Mikhail further enhanced their knowledge by completing the "Machine Learning" course through Coursera in December 2016. Lastly, in June 2018, they received a certificate for the "Sequence Models" course, also from Coursera.