Aleksei Zhuravlev
Staff Software Engineer, Applied ML at Google
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolAleksei Zhuravlev is a Staff Software Engineer in Applied ML with 12 years of experience building high-impact on-device and cloud ML systems, now working on LLM agents at Google. He combines deep C++ and Python expertise with hands-on research in generative models, GANs, diffusion models and DNN-based classification to ship production-grade features at scale. At Snap he led a team delivering text-guided face transformation and retouching technologies that doubled engagement across billion-plus monthly traffic products, and at ABBYY he drove OCR R&D that produced patented inventions and measurable accuracy and speed gains. He excels at closing the loop from data collection and synthetic datasets through model optimization, knowledge distillation and latency reduction for mobile deployment. A mentor and infrastructure advocate, he pushes code sharing, tooling and NAS-driven model efficiency improvements to multiply team impact. His background from MIPT and track record of translating advanced ML into widely used product experiences makes him rare among applied research engineers.
12 years of coding experience
7 years of employment as a software developer
Master's degree with honours Applied Mathematics and Computer Science, Master's degree with honours Applied Mathematics and Computer Science at Moscow Institute of Physics and Technology (State University) (MIPT)
Russian, English
Github Skills (11)
audio10
flux10
stable-diffusion9
image-generation9
pytorch9
deep-learning8
diffusion-models8
diffusers8
jax7
text2image7
flax5
Programming languages (2)
Github contributions (5)
fivt-300-groups-advanced-a/fivt-2013-advanced-a
Sep 2013 - May 2015
Contributions:58 commits, 8 pushes in 1 year 8 months
team-compilers/compilers
Sep 2016 - May 2017
Contributions:75 commits, 2 PRs, 60 pushes in 8 months
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