Evgenii Khramkov is a Senior Software Engineer with about a decade of professional experience focused on frontend engineering, currently building at Spice AI from Seoul. He specializes in React, Next.js and TypeScript but brings full-stack fluency across Node.js, Python, .NET and Ruby on Rails, plus hands-on mobile experience from native iOS/Android to React Native and Xamarin. Evgenii has contributed to high-profile Microsoft projects such as Visual Studio App Center and Azure Pipelines, implementing CI features and releasing automation that handle complex upload and distribution workflows. At Cube Dev and PandaDoc he led public-facing web products and SDK integrations, demonstrating an ability to ship polished developer and marketing experiences. Known for pragmatic problem solving, he combines design-system work (VKUI) with backend CI integrations, making him effective across product-facing UI and developer tooling.
9 years of coding experience
10 years of employment as a software developer
Bachelor, Applied Math and Informatics (Computer Sciense), Bachelor, Applied Math and Informatics (Computer Sciense) at Vyatka State University
Contributions:9 releases, 130 commits, 54 PRs in 2 years 4 months
Contributions summary:Evgenii primarily worked on implementing and maintaining the `mobile_center_upload` action within the fastlane plugin. Their contributions included creating and modifying code related to uploading releases and dSYM files to App Center, including the logic for creating uploads, handling errors, and interacting with the App Center API. They also added features such as automated release note clipping and support for Android mapping uploads, as well as making modifications to tests, ensuring the plugin's functionality.
Contributions:21 commits, 2 PRs, 4 comments in 2 months
Contributions summary:Evgenii primarily contributed to the App Center Distribute V3 task, focusing on enhancements and new feature implementations. Key contributions include adding destination type and silent release options, making destinations optional for groups, and mandatory for stores. The user also updated unit tests to accommodate the new functionalities. Furthermore, the user refactored types and fixed expressions, demonstrating a focus on the task's functionality and maintainability.
azure-pipelineswindowsazurepipelinesazure-devops
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Evgenii Khramkov - Senior Software Engineer at Spice AI