Ilya Kozyrev is a pragmatic AI and data engineering leader with over a decade of experience building high-throughput ML and streaming systems and currently heading AI at Raft. He has led cross-functional teams at companies including Apache Beam and Akvelon, architecting cloud-native data pipelines and an interactive Apache Beam Playground used by the community. His hands-on background spans GCP, AWS, Azure, Kafka, Pub/Sub, Dataflow and Kubernetes, with notable open-source contributions such as a Kafka-to-Pub/Sub Beam example and backend work on the Beam Playground. Ilya combines product-focused leadership with deep implementation skills—designing Terraform and CI pipelines, writing backend services in Go, and optimizing ML deployment at scale. Based in Yaroslavl, he brings a proven track record of turning complex streaming and ML requirements into production-ready, repeatable solutions.
5 years of coding experience
6 years of employment as a software developer
Бакалавр Информационные технологии, Бакалавр Информационные технологии at Yaroslavl Demidov State University
Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:
Back-end Developer
Contributions:157 reviews, 9 commits, 8 PRs in 1 year
Contributions summary:Ilya primarily focused on implementing an example pipeline that ingests data from Apache Kafka and publishes it to Google Pub/Sub. Their contributions involved creating templates, adding new Gradle modules, and refactoring the `README.md` file to include a step-by-step guide. They also addressed issues related to Javadoc, metadata, and build scripts, enhancing the example's functionality and usability. Further modifications involved adding unit tests and support for retrieving Kafka credentials.
Contributions:1 PR, 11 pushes, 3 branches in 1 day
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