Summary
Pavel Kamenev is a Data Scientist with nine years of experience building production ML systems and leading features from research prototypes to high-load microservices. At Kontur he has driven projects ranging from retrieval-augmented generation and internal LLM ops to code-representation models and automated conversation moderation, combining hands-on engineering with feature and tech leadership. He holds a master’s in Mathematics and Computer Science and publishes research—his work on non-parametric regression appeared in a Springer journal—while also contributing to open-source vector search tooling. Comfortable balancing rapid business-driven solutions with longer-term development vision, he pairs practical deployment skills (hosting, prompt engineering, .NET/Python microservices) with ongoing experimentation on Kaggle. Based in Batumi and affiliated with Germany, he brings a developer-first focus to improving engineers’ workflows through state-of-the-art ML.
9 years of coding experience
4 years of employment as a software developer
Bachelor, Applied Mathematics, Bachelor, Applied Mathematics at Novosibirsk State Technical University (NSTU)
Master's degree, Mathematics and Computer Science, Master's degree, Mathematics and Computer Science at Novosibirsk State University (NSU)