Jinx Ma focused on enhancing API reliability for the linkedin/datahub-gma repository by improving error handling in backend Java services. During this period, Jinx addressed a key issue where ModelValidationException errors were previously unclear to API consumers. By translating these exceptions into precise 4XX invalid argument responses during snapshot or asset retrieval, Jinx enabled clearer, user-friendly validation feedback. This approach leveraged skills in API development and error handling, resulting in more accurate client-side error categorization and reducing confusion between client and server issues. The work contributed to a more robust API experience and supported the team’s goal of minimizing user friction.