
Alexandre Coppens developed core AI systems and refactored project architecture for the WS_Chair repository, focusing on scalable Unreal Engine solutions. He implemented AI behavior trees and navigation mesh enhancements to support complex enemy movement and perception, integrating features like patrol points, vision systems, and parent interaction. Alexandre centralized templates and reorganized assets to streamline project management and reduce duplication. Using Unreal Engine Blueprints and INI configuration, he introduced data-driven enemy behaviors and improved UI feedback with visual outlines. His work stabilized the build pipeline, fixed navigation and fog issues, and enabled faster iteration, resulting in a more maintainable and robust codebase.

October 2025: Focused on establishing a scalable architecture for WS_Chair and delivering core AI features. Key achievements include refactoring project hierarchy and centralizing templates; implementing Parent Interaction and Patrol systems; advancing Navmesh-based movement with SubLevel support; adding Enemy Vision/Perception and a core Enemy Behavior system; introducing data assets and visuals (Enemy DataAsset, Grid Material, UI outlines); and stabilizing the build pipeline. These efforts delivered tangible business value: faster feature iteration, more believable AI behavior, improved visual fidelity, and a reliable deployment process.
October 2025: Focused on establishing a scalable architecture for WS_Chair and delivering core AI features. Key achievements include refactoring project hierarchy and centralizing templates; implementing Parent Interaction and Patrol systems; advancing Navmesh-based movement with SubLevel support; adding Enemy Vision/Perception and a core Enemy Behavior system; introducing data assets and visuals (Enemy DataAsset, Grid Material, UI outlines); and stabilizing the build pipeline. These efforts delivered tangible business value: faster feature iteration, more believable AI behavior, improved visual fidelity, and a reliable deployment process.
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