Vladimir Glazachev
About Vladimir Glazachev
Vladimir Glazachev is an ML Tech Lead at Rosebud AI, where he has worked since 2020. He holds a Master's degree in Data Science from Skolkovo Institute of Science and Technology and has experience in machine learning and software development from previous roles at Yandex, Ople, and various projects.
Current Role at Rosebud AI
Vladimir Glazachev serves as the ML Tech Lead at Rosebud AI, a position he has held since 2020. In this role, he focuses on developing machine learning solutions that enhance the company's offerings. His current projects include working on a platform that simplifies the game creation process, which involves image and 3D object manipulation as well as automated systems for game source code editing.
Previous Experience at Ople
Before joining Rosebud AI, Vladimir worked as an ML Engineer at Ople from 2017 to 2020. During his three years at Ople, he contributed to various machine learning projects, applying his expertise to improve the company's technological capabilities and product offerings.
Internship at Yandex
In 2017, Vladimir completed a one-month internship at Yandex as a machine learning intern. This experience allowed him to gain practical insights into the application of machine learning technologies in a leading tech company.
Educational Background in Data Science
Vladimir earned a Master of Science (MS) in Data Science from the Skolkovo Institute of Science and Technology, where he studied from 2016 to 2018. This advanced education provided him with a strong foundation in data science principles and practices, which he applies in his current role.
Bachelor's Degree in Mathematics and Computer Science
Vladimir completed his Bachelor of Science (BS) in Mathematics and Computer Science at Saint Petersburg State University from 2012 to 2016. This undergraduate program equipped him with essential skills in mathematics and programming, forming the basis for his career in machine learning and technology.
Contributions to Digital Asset Creation
Vladimir has developed infrastructure for synth.run, a tool designed for digital asset creation. He also designed algorithms for Tokkingheads, an application for photo animation and synthetic speakers, which has garnered millions of installations. Additionally, he contributed to Pixelvibe, a platform focused on generating stock photos.