
Ajanthan Kanagasabapathy developed and integrated the Team AoA System with Cheating Detection for the ADimoska/SOMASExtended repository, focusing on enhancing security and fairness for Team 6 within a Go-based backend environment. Leveraging agent-based modeling and system design, Ajanthan replaced the existing placeholder with a robust anti-cheat pipeline that improves data quality for analytics and downstream reporting. The work included correcting AoAID mapping to ensure accurate association and enforcement, resulting in a more reliable configuration. This feature addressed the need for automated cheating detection and punishment, demonstrating depth in backend development and game theory applied to real-world system integrity challenges.

December 2024: Delivered the Team AoA System with Cheating Detection (Area of Attention) and completed the AoAID configuration fix for Team 6. Integrated into the environment server, replacing the placeholder for Team 6 and establishing a robust anti-cheat pipeline. The changes improve security, fairness, and data quality for analytics and downstream reporting.
December 2024: Delivered the Team AoA System with Cheating Detection (Area of Attention) and completed the AoAID configuration fix for Team 6. Integrated into the environment server, replacing the placeholder for Team 6 and establishing a robust anti-cheat pipeline. The changes improve security, fairness, and data quality for analytics and downstream reporting.
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