Summary
Valentin Buchnev is a Machine Learning Engineer with eight years of experience combining competitive programming strengths, algorithmic rigor, and applied computer vision research. He holds a Bachelor's in Applied Mathematics and CS from MIPT and has driven production and research work at Yandex and Huawei, where he implemented and published on state-of-the-art model quantization (both QAT and PTQ) across vision tasks. Earlier experience at Yandex.Market included designing AB-testing methodology and building CatBoost conversion models, showing a blend of experimentation, modeling and product impact. Based in Moscow, he brings a research-minded approach to production ML, comfortable taking models from novel algorithms to efficient, deployable systems.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, applied mathematics and computer science, Bachelor's degree, applied mathematics and computer science at Московский Физико-Технический Институт (Государственный Университет) (МФТИ)