
Worked on the Card-Forge/forge repository to deliver enhancements across AI logic, backend reliability, and data parsing. Focused on improving the AI evaluation engine by refining decision-making logic and addressing race conditions through synchronized multithreading in Java. Optimized performance for fog effect detection by narrowing search scope and enabling early exits, while also expanding deck import parsing to support additional card formats using regex and unit testing. Improved network reliability for the AutoUpdater by implementing dynamic host resolution and fallback mechanisms. The work demonstrated depth in concurrency, game AI development, and performance optimization, resulting in more robust and maintainable code.
July 2026 (Card-Forge/forge) delivered significant AI, reliability, and parsing enhancements with robust performance improvements across the engine, network checks, and deck import capabilities. The work focused on strengthening AI behavior, stabilizing concurrent evaluation, and improving data ingestion for diverse card formats, while maintaining fast feedback loops for users.
July 2026 (Card-Forge/forge) delivered significant AI, reliability, and parsing enhancements with robust performance improvements across the engine, network checks, and deck import capabilities. The work focused on strengthening AI behavior, stabilizing concurrent evaluation, and improving data ingestion for diverse card formats, while maintaining fast feedback loops for users.

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