In March 2026, Mat Skoff delivered a performance optimization for SQL LIKE pattern matching in the prestodb/presto repository. He replaced the CARDINALITY(SPLIT(...)) approach with STRPOS in the query planner for LIKE '%substring%' patterns, targeting large datasets. This Java-based solution reduced both CPU time and memory usage, as validated on a 1.78 trillion-row test table. Mat ensured robust test coverage by running and passing all relevant Java unit tests, confirming identical results across LIKE, SPLIT, and STRPOS paths. His work focused on maintainable performance tuning and SQL optimization, culminating in a documented release note for the project.