February 2026 (2026-02) focused on data quality and data coverage enhancements in the osmlab/name-suggestion-index repository. Key improvements targeted data accuracy and broader transit information to boost reliability and usefulness for editors and end users.

January 2026: Localization improvements across OsmAnd and OsmAnd-iOS focused on Catalan and Spanish translations, advancing accessibility and internationalization. Android progress: Catalan 97.9% (5645/5765); Spanish 100% (5765/5765). iOS progress: Catalan 79.7% (3121/3912); Spanish 96.7% (3785/3912). Tech/workflow: Weblate-based translation workflow demonstrated in commits; cross-platform consistency achieved.

2025-12 Monthly Summary for osmlab/name-suggestion-index: Delivered a new restaurant entry for Grosso Napoletano, updated the dataset via restaurant.json, and maintained data quality with a focused, bug-free month. This aligns with business goals to broaden coverage and improve search experience for restaurant lookups across apps relying on the index.

October 2025: OsmAnd-iOS localization work focused on Catalan; delivered Catalan Localization Enhancement to improve accuracy of route types and information display. Leveraged Weblate translation workflow; commit captured the translation effort.

August 2025 performance summary: Delivered targeted data quality and internationalization improvements across three repositories, driving business value through data accuracy, regional relevance, and improved user experience for non-English users. Key items include: 1) osmlab/name-suggestion-index — Supermarket Dataset Quality and Regional Scope Update: updated supermarket.json and deliberate exclusion of Portugal to align with product scope, improving data accuracy and regional coverage. Commits: d6db10e3da645ee1c6eb90bbe57c2454bd0db42e; 729c51036ae8f0f74cda20f8b1914d22b6e40e3d. 2) OsmAnd — Localization updates for Galician, Catalan, and Spanish translations for OsmAnd and OsmAnd/Telegram: complete translations across multiple language files to enhance UX for non-English users. Commits include translations across Catalan, Galician, and Spanish. 3) OsmAnd-iOS — Localization improvements for Spanish, Galician, and Catalan translations across the iOS app: refined strings for UI labels, map features, routing, and settings. Commits: a264cf7ea3ad8eb077e6563e294c6bf81b0dd4c0; 30b357ee4c4e74df415de96544f4211339fd277f; aadcc816b9e381d7eca7c19de29e8728e290cccb. 4) Cross-repo localization workflow enhancements using Weblate to standardize translations across platforms. 5) Overall impact: improved data accuracy, broader regional coverage, and a better non-English user experience, supported by strong collaboration and localization engineering.

July 2025: Delivered a substantial localization upgrade across OsmAnd-iOS and OsmAnd, consolidating translations for multiple languages and tightening UI consistency to boost accessibility, user satisfaction, and international reach. The work focused on Weblate-driven translations, alignment of translations with UI labels and unit abbreviations, and cross-repo coordination to prepare for smoother releases.

June 2025 monthly summary for osmlab/name-suggestion-index focusing on data enrichment and dataset quality improvements. Delivered targeted location data enhancements to support more accurate location-based recommendations, specifically for supermarkets and EV services, while maintaining data integrity across core POI datasets. While no major bugs were logged this period, the updates establish a stronger data foundation for EV infrastructure planning and car-sharing features.

May 2025 monthly summary for osmlab/name-suggestion-index. Key features delivered: Faborit Favorites feature enabling user-curated lists and display of favorites; Name Suggestion Index Dataset Expansion adding three new entries (Aloha Poké Spain, Tasty Poke, Levaduramadre) to improve suggestions and coverage. Major bugs fixed: none reported in this scope. Overall impact: improved personalization and search relevance, expanding dataset reduces gaps in suggestions and supports higher engagement and retention. Technologies/skills demonstrated: data modeling and indexing, dataset curation, feature development, Git-based collaboration, commit discipline, and open-source contribution practices.

April 2025 focused on data quality and multilingual content updates to improve user-facing name suggestions and website accuracy. Delivered two major features across two repositories: (1) osmlab/name-suggestion-index — Name Suggestion Dataset Enrichment (clinics, hospitals, Nacex franchises, and Sézane brands) to boost accuracy and coverage; commits include updates to clinic.json, hospital.json and additions for Nacex franchises and Sézane. (2) organicmaps/website — Multilingual Content Updates for Spanish with refined translations and enhanced translator metadata to support accurate multilingual content.

January 2025 monthly summary for osmlab/name-suggestion-index: Implemented Flowbird Brand Deprecation and Exclusion, a focused data cleanup and configuration change to prevent Flowbird from being suggested or processed. This reduces brand noise, strengthens data governance, and aligns with business objectives for cleaner, safer brand suggestions.