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Roman Kiryanov has a background in technical product management, computer vision software engineering, and research.

At HautAI OU, they worked as a Technical Product Manager, responsible for developing mobile-based AI-powered digital products for image analysis. Roman introduced a new product - a cross-platform software library for AI-powered image quality analysis. In this role, they utilized technologies such as JavaScript, WebGL, and WebAssembly for real-time neural network processing.

Prior to that, Roman worked as a Senior Computer Vision Software Engineer at HautAI OU. Roman developed computer vision algorithms for skin condition analysis from mobile selfie images using Python. Roman successfully solved tasks such as segmentation, classification, and joint estimation of skin parameters.

Roman also gained research experience at the Moscow Institute of Physics and Technology. As a Researcher in the 3D Image Analysis Group, they focused on neurobiology and adult neurogenesis in mice brains. Roman developed algorithms in Matlab for the analysis of 3D fluorescent microscopy images and worked on experiments setup. Roman'snotable achievement was developing a method for volumetric registration of multiple mice brain images to reconstruct changes in neurogenesis patterns over time.

Roman Kiryanov began their education in 2014 at the Moscow Institute of Physics and Technology (MIPT), where they pursued a Bachelor of Science in Applied Mathematics and Physics. Roman completed this program in 2018.

In 2018, they simultaneously enrolled in two Master of Science programs. First, they attended MIPT again, focusing on Applied Math and Physics and completing their Master's degree in 2020. Second, they studied Computer Science and Data Science at the Skolkovo Institute of Science and Technology, finishing their second Master's degree in the same year.

Additionally, in early 2018, Roman Kiryanov obtained certifications in Introduction to CSS3 and Introduction to HTML5 from Coursera.