
Developed an extensible, data-driven audio framework for AniGabStudios/MahouRobo, focusing on enhancing team identity, player feedback, and immersion throughout gameplay. Leveraged Unreal Engine, Verse scripting, and audio programming to implement team-specific sounds, configurable team roles, and expansive sound packs, including unique voice lines and cues for different characters. Introduced a timed events audio system and comprehensive audio asset initialization, supporting dynamic music playback and end-game audio balancing. Addressed critical bugs related to missing sounds and audio attenuation, ensuring consistent audio delivery. The work demonstrated depth in asset integration, event handling, and audio management, resulting in a robust, maintainable system.
Concise monthly summary for 2025-04 covering AniGabStudios/MahouRobo audio system work. Focused on delivering an extensible, data-driven audio framework that enhances team identity, feedback, and player immersion across start-to-end gameplay. Key investments included team-specific sounds, configurable team roles, expansive sound packs, timed events, VO triggers, and end-game audio. Also addressed critical bugs and tuned audio attenuation/volume for a consistent listening experience.
Concise monthly summary for 2025-04 covering AniGabStudios/MahouRobo audio system work. Focused on delivering an extensible, data-driven audio framework that enhances team identity, feedback, and player immersion across start-to-end gameplay. Key investments included team-specific sounds, configurable team roles, expansive sound packs, timed events, VO triggers, and end-game audio. Also addressed critical bugs and tuned audio attenuation/volume for a consistent listening experience.

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