Born in Ekaterinburg, Russia, I discovered my passion for mathematics at the age of 12. This interest led me to pursue a Bachelor’s degree at the Moscow Institute of Physics and Technology, where I found a new fascination: computer vision. During my third year, I became an assistant researcher, eventually advancing to a researcher role at the Vision Systems Lab of the Institute for Information Transmission Problems. My research focused primarily on geometric and color aberration correction, with applications for smartphone cameras. This experience helped me deepen my understanding of image formation theory, color theory, and their connections to human vision.

In 2020, I moved to France to complete my Master’s degree at the University of Grenoble Alpes. My thesis, conducted at Inria, explored medical imaging segmentation. While this was an enriching experience, I realized that, although deep learning is a powerful tool in the field, I have a stronger preference for working with classical computer vision and algorithms.

The summer after finishing my Master’s, I had the incredible opportunity to attend the Robotics Summer School at ETH Zurich. This experience introduced me to the fascinating world of robotics, and I decided to pursue a career in this field. I joined Evocargo LLC as a Computer Vision Engineer, eventually becoming the Lead of Sensors Calibration. Working in autonomous driving further fueled my passion for robotics and innovation.

In February 2024, I joined DeepX as a Computer Vision Engineer, eager to contribute to its vision and goals.