Roman Kucev is a founder and CEO with a decade of experience building data-centric businesses and scaling high-quality training data pipelines. He co-created a company that grew to 1,000+ annotators and multi-million dollar revenue, and now leads LLM Arena, benchmarking Russian LLMs and deploying AI to improve business processes. His technical roots span machine learning, large-scale data collection and annotation, and product engineering from his hands-on roles as CTO and R&D engineer. A former lecturer at Yandex School of Data Analysis, he combines academic rigor (MSU in Operations Research) with pragmatic crowd-sourcing expertise—having overseen projects with millions of labeled images and novel datasets like 3D foot scans. He also has background in cryptocurrencies and quantitative finance, which informs a founder’s fluency in both product strategy and data economics.
10 years of coding experience
7 years of employment as a software developer
Quantitative Financial Analytics, Quantitative Financial Analytics at Center of Mathematical Finance (CMF)
Contributions:51 commits, 49 pushes, 1 branch in 1 month
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