Jorge Lara focused on backend performance and reliability improvements across two major Ruby projects. For Shopify/rails, he developed a schema search path optimization that prevents redundant queries when the schema value remains unchanged, reducing runtime overhead and supporting scalability under load. In the rubocop/rubocop repository, he addressed a cache memoization issue in parallel processing, ensuring consistent cache key usage and preventing invalidation during concurrent analysis. His work involved bug fixing, caching strategies, and code refactoring, with clear documentation and traceability. Throughout both projects, Jorge applied his expertise in Ruby and parallel processing to deliver targeted, maintainable enhancements to core infrastructure.