
Worked on the apache/gravitino repository to enhance the determinism of data processing by addressing non-deterministic ordering in object statistics. The solution involved refactoring the API to use Java’s TreeMap for storing statistics, ensuring a consistent field order across different runs and environments. This change improved the reproducibility of analytics and reduced discrepancies in data comparisons. Unit tests were added to verify the deterministic behavior, reinforcing reliability in data-driven workflows. The work demonstrated skills in API development, data structures, and unit testing, focusing on backend improvements that support more predictable analytics and facilitate robust decision-making processes for the project.
Month: 2025-08 | Apache Gravitino: Focused on making data processing deterministic and API-consistent. Implemented deterministic ordering of object statistics by using a TreeMap, added unit tests, and aligned commits with issue tracking. This improves reproducibility of analytics, reduces diffs across environments, and strengthens data-driven decision making. Technologies demonstrated include Java TreeMap, unit testing, and API-level refactoring.
Month: 2025-08 | Apache Gravitino: Focused on making data processing deterministic and API-consistent. Implemented deterministic ordering of object statistics by using a TreeMap, added unit tests, and aligned commits with issue tracking. This improves reproducibility of analytics, reduces diffs across environments, and strengthens data-driven decision making. Technologies demonstrated include Java TreeMap, unit testing, and API-level refactoring.

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