Dima Arnautov is a Principal Software Engineer based in Amsterdam with 11 years of experience building product-focused software, particularly around machine learning UIs and backend features. He has progressed through multiple engineering roles at Elastic, now leading ML-related development and contributing to the high-profile open-source Kibana project to improve charting, export and ML functionality. Comfortable across front-end and back-end stacks, his background includes frontend-heavy roles in cluster management and ad-tech as well as early work in security and full-stack web development. His training in computer and information systems security informs a pragmatic attention to robustness and data protection in production systems. Colleagues rely on him for stabilizing complex features and shipping incremental improvements that materially improve observability and ML tooling. He combines product sensibility with hands-on engineering discipline, often working on subtle UI/UX and export edge cases that users notice only after they’re fixed.
11 years of coding experience
11 years of employment as a software developer
Specialist degree Computer and Information Systems Security/Information Assurance, Specialist degree Computer and Information Systems Security/Information Assurance at Chelyabinsk State University
Contributions:1978 reviews, 493 commits, 1252 PRs in 3 years 4 months
Contributions summary:Dima's commits focus on fixing and improving the state of "Show charts" control, export functionality, and ML-related features. The commits involve changes in several files within the `x-pack/plugins/ml` directory, suggesting a focus on the machine learning functionalities. These commits imply a role in maintaining and enhancing the functionality of the ML features within the Kibana platform.
Contributions:27 pushes, 11 branches in 3 years 1 month
chartschartelasticbar-chartelasticsearch
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Dima Arnautov - Principal Software Engineer at Elastic