Egor Krasheninnikov

Data Scientist

London, England, United Kingdom
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Summary

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Senior
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Top School
Egor Krasheninnikov is a Data Scientist with nine years of experience blending academic research and production ML, currently working on generative AI at AWS's GenAI Innovation Center in London. He has a strong research track record—coauthoring an ICML 2024 paper on LLM implicit meta-learning and building large-scale LLM training pipelines on HPC clusters—while also shipping applied systems like personalized learning trajectory recommenders and industrial computer vision solutions. His background spans ML infrastructure, model alignment (clarifying-question methods presented at NeurIPS workshops), and practical gains in compression and translation robustness from collaborations with industry partners. Comfortable across research and engineering, Egor combines rigorous math-and-CS training with hands-on experience deploying SLURM pipelines and RAG/semantic matching systems. Notably, he moves fluidly between cutting-edge generative models and production constraints, making him effective at turning novel ML ideas into scalable, evaluated systems.
code9 years of coding experience
job5 years of employment as a software developer
bookMathematics and Computer Science, Mathematics and Computer Science at Saint Petersburg State University
languagesEnglish, Russian
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Github Skills (7)

capsnet6
keras5
dynamic-routing4
tensorflow3
deep-learning3
emotion1
neural-network1

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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egorkrash/SiameseNetwork

Sep 2019 - Apr 2020

Contributions:45 commits, 1 push in 7 months
Contributions:52 commits, 49 pushes, 1 branch in 1 year 9 months
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Egor Krasheninnikov - Data Scientist