
Niko Ragusa developed automated tagging features for the Radarr and Sonarr repositories, focusing on improving content organization and discovery within movie management software. Using C# and backend development skills, Niko implemented input validation and metadata matching to ensure tags were applied accurately based on studio and network information. The work included creating a reusable tagging framework that supports scalable, metadata-driven workflows, reducing manual curation and enhancing data quality. By automating tag application tied to verified metadata, Niko established a foundation for future extensibility, demonstrating depth in API development and thoughtful engineering to address real-world content management challenges.

April 2025 delivered targeted automation to improve content tagging across Radarr and Sonarr. Key work shipped includes two automated tagging features with input validation and metadata matching to ensure tagging accuracy, reducing manual curation and improving content discovery. Across both repos these features establish a scalable metadata-driven workflow and set the foundation for future extensions to additional tagging criteria, studios, and networks.
April 2025 delivered targeted automation to improve content tagging across Radarr and Sonarr. Key work shipped includes two automated tagging features with input validation and metadata matching to ensure tagging accuracy, reducing manual curation and improving content discovery. Across both repos these features establish a scalable metadata-driven workflow and set the foundation for future extensions to additional tagging criteria, studios, and networks.
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