Egor Popelyaev is a releasing quality engineer with over a decade in IT and more than nine years focused on QA/SD, blending deep test automation expertise with CI/CD, infrastructure and deployment pipeline design. He has driven quality-first cultures across fintech, ML, e-commerce and enterprise projects, building testing frameworks, staging environments and fast, reliable CI pipelines that cut deploy times dramatically. At Parity he contributes to blockchain infrastructure and release automation, including runtime and spec version updates for Polkadot/Cumulus and Docker build workflows, showing strong backend and DevOps chops beyond classic QA. Comfortable with Java-led automation stacks and containerized production tooling, he also brings systems administration skills (Ansible, Kubernetes, Docker) that let him influence the full delivery lifecycle. ISTQB FL certified and known for making quality a team responsibility, he pairs hands-on engineering with coaching to sustain long-term process improvements.
10 years of coding experience
14 years of employment as a software developer
Engineer, Automation and Control, Engineer, Automation and Control at Novosibirsk State Technical University (NSTU)
Contributions:11 releases, 249 reviews, 364 PRs in 1 year 7 months
Contributions summary:Egor primarily contributed to the infrastructure and build processes within the repository. They made significant changes to update runtime versions and transaction versions across multiple runtimes. Additionally, they are involved in bumping the spec version. They also contributed to the GitHub workflow for building and deploying docker images.
Contributions:1 release, 96 reviews, 92 commits in 7 months
Contributions summary:Egor primarily contributed to the `cumulus` repository by backporting and implementing version bumps related to specification versions, transaction versions, and other runtime updates across various parachain runtimes. Their changes involved modifying runtime configurations and dependencies, which directly impacted the functionality and compatibility of the parachain environments. They also updated weights for benchmark tests within the Collectives runtime, demonstrating involvement in performance considerations.
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