
Worked on the immich-app/immich repository to enhance asset search functionality by implementing an option to exclude stacked assets, improving search accuracy for users managing large image and video libraries. Extended the searchAssetBuilder to respect the withStacked parameter, ensuring more relevant and manageable search results. The technical approach involved backend development and database management using TypeScript and Node, with a focus on parameter-driven design. Collaborated on code review and addressed a bug to align the search behavior with expected functionality. This work contributed to clearer asset filtering, reduced search noise, and a smoother user experience when handling extensive asset collections.
March 2026 monthly summary for immich-app/immich: Focused on improving asset search accuracy and reliability by implementing an option to exclude stacked assets in the search flow. This was achieved by extending searchAssetBuilder to respect the withStacked parameter, leading to more relevant results for users with large asset collections. The changes include a bug fix to align with the existing withStacked behavior in searchAssetBuilder (#26607), with collaboration acknowledged (Co-authored-by: Joe). Overall impact includes clearer asset filtering, reduced search noise, and a smoother user experience when managing large image/video libraries. Technologies/skills demonstrated include codebase changes in TypeScript/Node stack, feature flag/parameter-driven design, and collaborative code review.
March 2026 monthly summary for immich-app/immich: Focused on improving asset search accuracy and reliability by implementing an option to exclude stacked assets in the search flow. This was achieved by extending searchAssetBuilder to respect the withStacked parameter, leading to more relevant results for users with large asset collections. The changes include a bug fix to align with the existing withStacked behavior in searchAssetBuilder (#26607), with collaboration acknowledged (Co-authored-by: Joe). Overall impact includes clearer asset filtering, reduced search noise, and a smoother user experience when managing large image/video libraries. Technologies/skills demonstrated include codebase changes in TypeScript/Node stack, feature flag/parameter-driven design, and collaborative code review.

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