Summary
Galina Alperovich is an engineering manager in machine learning with over a decade of experience designing, deploying, and scaling AI systems that have served hundreds of millions of users. She has progressed from research and data-science roles at Yandex and JetBrains to technical leadership at Avast, Soveren, and Coinbase, blending deep ML research with hands-on production engineering. Her background spans mathematics and advanced AI training—including CTU Prague, Stanford’s CS224N, and specialized computer vision coursework—enabling her to bridge cutting-edge models and robust product delivery. Known for moving models from prototype to at-scale deployment, she excels at building teams that operationalize ML in security- and privacy-sensitive environments. Based in the UK, she brings a rare combination of academic rigor and pragmatic product focus that accelerates safe, scalable AI adoption.
10 years of coding experience
13 years of employment as a software developer
CV Rocket course: Advanced Deep Learning techniques in Computer Vision, CV Rocket course: Advanced Deep Learning techniques in Computer Vision at DeepSchool
Specialist's degree (eq. to BSc) Mathematics, Specialist's degree (eq. to BSc) Mathematics at Saint Petersburg State University
Master’s Degree Artificial Intelligence, Master’s Degree Artificial Intelligence at Czech Technical University in Prague
CSCI E-63 course: Big data analytics, CSCI E-63 course: Big data analytics at Harvard Extension School
CS224N course: Natural Language Processing with Deep Learning Artificial Intelligence Professional Program, CS224N course: Natural Language Processing with Deep Learning Artificial Intelligence Professional Program at Stanford University
English, Czech