Summary
Alexander Chernyshev is a software engineer specializing in machine learning and applied mathematics, with bachelor’s and master’s degrees with honors from Lomonosov Moscow State University and 8 years of hands-on experience spanning research, optimization and production ML. He has worked on image segmentation and style transfer, text tasks like inverse text normalization and summarization, and audio, and currently improves machine translation quality at Yandex. Previously he accelerated distributed ML and graph algorithms at Huawei and contributed as an ML analyst and analyst at leading tech firms. A competitive problem-solver with a strong record in national and international AI, programming and math contests, he combines deep theoretical training (GPA ~5.0/4.9) with a practical focus on algorithmic performance and system-level optimization. Relocated to Belgrade, he is fluent in quickly mastering complex concepts and turning them into efficient, production-ready solutions.
8 years of coding experience
1 year of employment as a software developer
Степень магистра, Прикладная математика и информатика, 4.9 / 5.0, Степень магистра, Прикладная математика и информатика, 4.9 / 5.0 at Московский Государственный Университет им. М.В. Ломоносова (МГУ)