Over five months, contributed to Ewan-DuplessisK/PFE_FTJ_Proto and Loris-Moreau/UE_Traversal by building scalable enemy AI systems, combat mechanics, and robust debugging tools using Unreal Engine, C++, and Blueprints. Developed multi-enemy support with behavior trees, data-driven configuration, and advanced aggro logic, enabling rapid iteration and flexible gameplay balancing. Enhanced core gameplay with features like dash systems, grab mechanics, and close-quarters combat, while maintaining code quality through systematic refactoring and clean code practices. Improved development efficiency by integrating debugging menus and localization updates, and addressed deployment reliability, ensuring stable production releases and maintainable systems for ongoing game development and testing.
June 2025 monthly summary for Ewan-DuplessisK/PFE_FTJ_Proto focusing on reliability, gameplay polish, localization, and tooling improvements. Delivered key features, fixed a production deployment bug, and enhanced debugging capabilities to improve development efficiency and release readiness.
June 2025 monthly summary for Ewan-DuplessisK/PFE_FTJ_Proto focusing on reliability, gameplay polish, localization, and tooling improvements. Delivered key features, fixed a production deployment bug, and enhanced debugging capabilities to improve development efficiency and release readiness.
In May 2025, the project delivered a set of targeted updates to enemy AI, combat systems, navigation, and debugging tooling, driving stronger gameplay balance and faster iteration. The work focused on delivering business value through reliable systems, observable performance improvements, and maintainable code while stabilizing core combat loops for long-term scalability.
In May 2025, the project delivered a set of targeted updates to enemy AI, combat systems, navigation, and debugging tooling, driving stronger gameplay balance and faster iteration. The work focused on delivering business value through reliable systems, observable performance improvements, and maintainable code while stabilizing core combat loops for long-term scalability.
April 2025 performance summary for Ewan-DuplessisK/PFE_FTJ_Proto focusing on AI-rich combat, stability, and engineering excellence. Delivered core enemy behavior enhancements (RVO-based aggro, dialogue-capable AI, advanced grab mechanics) and reliability improvements (no-crash guards, post-QTE lifebar). Progressed performance-oriented CPP transition (BP to CPP, multi-enemy coordination, target variable alignment) and expanded developer tooling for faster iteration (Enemy AI systems/dev tooling integration). Strengthened anti-gank logic and combat versatility (no-enemy attack scenarios, CQC options), while maintaining code quality through refactors and clean-code initiatives. Close collaboration with R&D and cross-functional teams accelerated iteration and reduced risk of regressions across enemy systems.
April 2025 performance summary for Ewan-DuplessisK/PFE_FTJ_Proto focusing on AI-rich combat, stability, and engineering excellence. Delivered core enemy behavior enhancements (RVO-based aggro, dialogue-capable AI, advanced grab mechanics) and reliability improvements (no-crash guards, post-QTE lifebar). Progressed performance-oriented CPP transition (BP to CPP, multi-enemy coordination, target variable alignment) and expanded developer tooling for faster iteration (Enemy AI systems/dev tooling integration). Strengthened anti-gank logic and combat versatility (no-enemy attack scenarios, CQC options), while maintaining code quality through refactors and clean-code initiatives. Close collaboration with R&D and cross-functional teams accelerated iteration and reduced risk of regressions across enemy systems.
March 2025 performance summary for Ewan-DuplessisK/PFE_FTJ_Proto. Focused on establishing a scalable AI foundation capable of multi-enemy scenarios and enhancing inter-agent communication. Delivered data-driven configuration, foundational AI assets, controllers, and behavior trees, enabling rapid iteration and future expansion. Implemented talking tasks between enemies to improve coordination and increase player challenge.
March 2025 performance summary for Ewan-DuplessisK/PFE_FTJ_Proto. Focused on establishing a scalable AI foundation capable of multi-enemy scenarios and enhancing inter-agent communication. Delivered data-driven configuration, foundational AI assets, controllers, and behavior trees, enabling rapid iteration and future expansion. Implemented talking tasks between enemies to improve coordination and increase player challenge.
December 2024 monthly summary for Loris-Moreau/UE_Traversal: Delivered foundational enemy AI and combat scaffolding to accelerate iteration and testing. Implemented a blueprint-based patrol system and created a dedicated test level to validate enemy behaviors. No major bugs fixed this month; focus was on establishing a robust, reusable AI framework and test assets for upcoming milestones, driving business value through faster QA cycles and lower integration risk.
December 2024 monthly summary for Loris-Moreau/UE_Traversal: Delivered foundational enemy AI and combat scaffolding to accelerate iteration and testing. Implemented a blueprint-based patrol system and created a dedicated test level to validate enemy behaviors. No major bugs fixed this month; focus was on establishing a robust, reusable AI framework and test assets for upcoming milestones, driving business value through faster QA cycles and lower integration risk.
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