Aleksandr Iushmanov is a talented machine learning engineer with experience in various projects ranging from photo editing applications to spiking neural network emulation. He obtained his bachelor's and master's degrees in applied mathematics and physics at Moscow Institute of Physics and Technology (MIPT).

Before pursuing his master's degree, Iushmanov worked as a machine learning engineer at Yandex, where he developed algorithms for personal content feeds, topic diversity, and user experience. Additionally, he worked on transfer style and figure segmentation for Photo Lab, and worked on standalone projects such as X-ray image classification, satellite image processing, and license plate recognition. At MIPT, he also served as a teacher's assistant.

Iushmanov's expertise lies in machine learning, deep learning, and neural networks. He is currently finishing his thesis work on spiking neural networks, which reflects his interest in neural networks and artificial intelligence.

With his well-rounded background in machine learning and physics, Iushmanov is an especially valuable addition to any organization seeking a talented engineer with a demonstrated history of delivering results.