Valentin Kuznetsov is a data scientist and research associate with 16+ years of experience designing and building large-scale data management and information-retrieval systems for high-energy physics experiments, primarily supporting the CMS collaboration at CERN from Cornell. He combines deep technical skills across Python, C++, Erlang, Go and R with production-focused DevOps experience—contributing backend and deployment work to notable projects like the CMS DMWM deployment, adding security and search capabilities to critical data aggregation services. Valentin’s strengths span heterogeneous architectures, databases (relational and NoSQL), cloud-native orchestration (Kubernetes), and parallel/grid computing, enabling end-to-end delivery from research algorithms to operational services. A mentor and advisory-board member for the University of Washington’s Data Science program, he blends rigorous physics training (PhD) with practical software engineering to extract actionable insight from complex scientific data.
16 years of coding experience
1 year of employment as a software developer
Certificate, Data Science, Certificate, Data Science at University of Washington
Ph.D., Physics, Ph.D., Physics at Joint Institute for Nuclear Research, Dubna, Russia
Ms.Sc., Physics, Ms.Sc., Physics at Irkutsk State University
Contributions:23 reviews, 172 commits, 163 PRs in 12 years 2 months
Contributions summary:Valentin primarily contributed to the configuration and deployment aspects of the CMS DMWM deployment repository. They modified configuration files, especially within the DAS (Data Aggregation System) component, adapting settings for releases, adding features like security and keyword search functionality, and integrating new services like reqmgr2. Furthermore, the user updated deployment scripts for components like WMArchive and introduced security and authentication configurations, demonstrating a focus on both back-end service integration and operational concerns.
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Valentin Kuznetsov - Data Scientist Research Associate