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.
9 years of coding experience
5 years of employment as a software developer
Mathematics and Computer Science, Mathematics and Computer Science at Saint Petersburg State University
Contributions:52 commits, 49 pushes, 1 branch in 1 year 9 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.