
Worked on backend development for the ynput/ayon-core repository, focusing on improving CollectHierarchy attribute handling for new shots and first-time folder creation. Using Python, implemented a clear separation of logic to distinguish between new and existing shots, introducing a shot_exists flag to clarify update behavior. Added checks to ensure attributes are correctly created or updated when folders are published for the first time, addressing issues with empty attributes and manual corrections. The solution involved refining conditional logic and enforcing folder-creation checks, which enhanced data integrity and reliability in automated workflows. This work demonstrates depth in backend systems and workflow automation.
February 2026: Delivered targeted improvements to CollectHierarchy attribute handling in ynput/ayon-core, enabling reliable attribute propagation for new shots and first-time folder creation and reducing manual post-publish corrections. Implemented a clear separation of logic for new vs existing shots, introduced a shot_exists flag to disambiguate states, and added checks to handle first-time folder entity creation so attributes are added or updated as appropriate. The work is supported by two commits that fix first-publish attributes and enforce folder-creation checks, enhancing data integrity, pipeline reliability, and developer confidence in automated workflows.
February 2026: Delivered targeted improvements to CollectHierarchy attribute handling in ynput/ayon-core, enabling reliable attribute propagation for new shots and first-time folder creation and reducing manual post-publish corrections. Implemented a clear separation of logic for new vs existing shots, introduced a shot_exists flag to disambiguate states, and added checks to handle first-time folder entity creation so attributes are added or updated as appropriate. The work is supported by two commits that fix first-publish attributes and enforce folder-creation checks, enhancing data integrity, pipeline reliability, and developer confidence in automated workflows.

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