Dmitry Rozhkov is a seasoned software engineer with 16 years of experience building cloud-native infrastructure, embedded systems, and CI/CD tooling across companies like Intel, Huawei, Nokia, and Jolla. He brings deep systems-level expertise in Kubernetes, Envoy, Go and C/C++, combined with embedded Linux and Yocto experience from early-career device projects. At Intel he was an Envoy committer and contributed to Kubernetes hardware enablement and device plugins, and his open-source work includes performance and compression improvements to Envoy and infrastructure automation for Intel device plugins. Dmitry pairs hands-on low-level debugging (kernel, ConnMan) with scalable release engineering and build-system automation, often bridging release machinery and localization or operator publishing workflows. Based in Espoo with an MS in Rocket Science & Aerospace Engineering, he blends rigorous engineering discipline with practical product delivery on both constrained devices and cloud platforms. A less obvious strength is his long history of integrating diverse toolchains and release pipelines—turning complex, multi-team workflows into reproducible, automated delivery systems.
16 years of coding experience
17 years of employment as a software developer
Baltic State Technical University "VOENMEH" named after D.F. Ustinov
Contributions:432 reviews, 184 commits, 330 PRs in 4 years 2 months
Contributions summary:Dmitry primarily contributed to infrastructure and build/release automation within the repository. They updated the Dockerfile for the Intel QAT plugin, switched to a specific version of Go, and upgraded Kubernetes dependencies. Furthermore, they introduced changes to the operator's Dockerfile, preparing it for publishing on operatorhub.io. They also focused on upgrading controller-gen and made changes to the FPGA webhook configuration.
Contributions:469 reviews, 33 commits, 72 PRs in 3 years 2 months
Contributions summary:Dmitry primarily contributes to the Envoy proxy project, focusing on code improvements related to HTTP filters, compression, and general performance. They made changes to the compression filter to support request payload compression, fixed issues related to the Vary header, and addressed several performance bottlenecks by optimizing code and introducing new features, like Brotli compression. The user also refactored and removed legacy code related to the HTTP Gzip filter.
nanoservicesmore-catsgolangcontainersproxy
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