Abinaya Jayaprakasam focused on enhancing error handling and reliability in the apache/spark repository over a two-month period. Working primarily with Scala and SQL, Abinaya addressed critical bugs in Spark SQL interval parsing and DataFrameWriter V2, replacing raw exceptions with structured error classes to improve user-facing messages and programmatic error handling. The approach included adding targeted unit and integration tests, updating error definitions, and validating changes through both automated and manual testing. These contributions improved the robustness of interval arithmetic and write operations, enabling better tooling support and reducing support friction for JDBC/ODBC integrations in production Spark workloads.