April 2026 performance snapshot: Core build-system modernization and CI stabilization for kms, coupled with test reliability and crypto workflow optimizations. The month focused on delivering business value through faster, more reliable builds, safer release pipelines, and more efficient crypto processing across kms and tfhe-rs.

March 2026 performance: Implemented modular, crate-based architecture in zama-ai/kms by extracting algebra and execution into dedicated crates (threshold-algebra and threshold-execution), introducing a thread-handles crate, and tightening dependencies; reduced maintenance and improved integration paths for threshold components. In addition, deduplicated dependencies and restructured crates to streamline build and collaboration. Removed StorageCache and related debug code to simplify storage management and reduce surface area. In tfhe-rs, introduced a safe-serialization crate moved to its own crate and wired into the workspace to improve reuse. Overall impact: cleaner separation of concerns, faster onboarding for new threshold components, improved build times, and more robust, reusable crates across the workspace. Technologies demonstrated: Rust crate-level modularization, workspace management, dependency deduplication, clippy/cleanup discipline, and cross-crate integration; demonstrated ability to drive architectural improvements with concrete commits.

February 2026 monthly summary for zama-ai/kms: Delivered improvements to custodian backup test reliability by introducing a purge utility and updating tests to purge data after each run. This eliminated residual data interference, enabling reliable re-runs and more deterministic CI outcomes. The work directly supports faster feedback and safer test-driven changes in the KMS feature set.