Ruslan Vasilev
Member Of Technical Staff at OpenAI
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolRuslan Vasilev is an LLM and distributed training engineer with 6 years of experience building large-scale model infrastructure and optimization pipelines. Based in London, he led pre-training efforts at Yandex—contributing to open projects like YaLM-100B—and recently joined OpenAI as a Member of Technical Staff. His work focuses on reducing communication and memory overhead in GPU-accelerated distributed training, improving model architectures for scaling, fast inference, and long-context operation. He combines hands-on framework development with experimental rigor, having driven parameter-efficient fine-tuning methods that achieved SOTA on Russian SuperGLUE. Fluent in both research and production contexts, he blends mathematical training from MSU with a data-science master’s and practical ML engineering from Yandex School. Colleagues rely on him to turn cutting-edge training algorithms into robust, production-ready systems.
7 years of coding experience
3 years of employment as a software developer
Master's degree, Data Science, Master's degree, Data Science at Higher School of EconomicsMachine Learning Engineering, Machine Learning Engineering at Yandex School of Data AnalysisLomonosov Moscow State University
Github Skills (9)
memory-efficient10
language-model9
python8
machine-learning7
deep-learning7
natural-language-processing6
arxiv5
data-parallel4
llm2
Programming languages (3)
Github contributions (5)
artnitolog/deep_metric_learning
Oct 2021 - Jun 2022
Contributions:60 commits, 23 pushes, 1 branch in 7 months
artnitolog/ml_practice
Jan 2021 - May 2021
Contributions:17 commits, 6 pushes in 4 months
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