May 2026 monthly summary for gemwalletcom/core: Delivered cross-platform improvements and data integrity fixes that strengthen maintainability and business value. Key features and fixes were implemented with clear, single sources of truth and updated data contracts across primitives, mocks, API mapping, and storage models. Demonstrated cross-language bindings, API surface alignment, and robust data models to support scalable growth.

March 2026: Delivered robustness and type-system enhancements in gemwalletcom/core. Implemented a safe error conversion to eliminate panics when Swift callbacks throw non-GatewayError across the UniFFI boundary; added regression tests. Introduced InternalWallet variant in AddressType with corresponding serialization (camelCase) and SQL type updates. These changes reduce cross-boundary failure modes, improve stability of wallet operations, and lay groundwork for future address-type extensions. Tech stack demonstrated: Rust error conversions (From trait), UniFFI boundary handling, serialization, and SQL type migrations; focused on business reliability and maintainability.

February 2026: Core data-model enhancements and a key normalization fix delivered in gemwalletcom/core. Delivered a Contact Management System with timestamped contacts and simplified ContactAddress; extended the address data model with an optional address_type (AddressType) including a new Contact variant; improved type safety and serialization by refactoring NameRecord.provider to NameProvider and removing Ens from AddressType; and fixed a bug by normalizing perpetual position IDs to lowercase to avoid case-sensitivity issues. These changes boost data integrity, search reliability, and downstream interoperability, enabling more accurate contact/address handling and consistent ID generation across systems.

2026-01 monthly summary for gemwalletcom/core focused on improving data model usability and testing through equality enhancements. Delivered a high-value feature that enables precise comparisons and safe use in collections for core configuration data models. This work reduces testing boilerplate and enables stronger data integrity checks across config-driven features.