In July 2025, Artsiom Chorny delivered six robust features across the ProjectAlita/alita-sdk and application-tools repositories, focusing on scalable data ingestion and analytics readiness. He enhanced the Confluence API to support advanced attachment filtering and new media types, while expanding Bitbucket integration to streamline pull request handling and commenting. Leveraging Python and cloud technologies, Artsiom integrated BigQuery and Delta Lake for improved data pipeline configuration and reliability. His work on Xray indexing introduced modular loaders and generator patterns, supporting efficient vector database indexing. These contributions improved automation, data governance, and code review workflows, demonstrating strong backend development and API integration skills.