
Over four months, contributed to onirise/Failsafe by building modular enemy AI systems, integrating FMOD audio middleware, and enhancing gameplay through dynamic state machines and lighting-based detection. Leveraged Unity, C#, and C++ to implement features such as patrol, chase, and search behaviors, as well as UI and audio improvements for player immersion. Refactored project structure, stabilized player controls, and introduced new debugging tools and dependency injection patterns. Addressed reliability by fixing movement, rendering, and audio issues, while refining AI responsiveness and environmental interaction. The work emphasized maintainable code, extensible architecture, and robust asset management to support ongoing development and iteration.
July 2025: Delivered a focused enemy AI enhancement for Onirise/Failsafe by implementing a new CheckState for enemies to investigate points of interest and refining the AwarenessMeter. Refactor improved initialization order, parameter application, and alert checks, resulting in more reliable AI behavior and faster scene adaptation. These changes boost gameplay realism and player engagement while reducing AI edge-cases across levels.
July 2025: Delivered a focused enemy AI enhancement for Onirise/Failsafe by implementing a new CheckState for enemies to investigate points of interest and refining the AwarenessMeter. Refactor improved initialization order, parameter application, and alert checks, resulting in more reliable AI behavior and faster scene adaptation. These changes boost gameplay realism and player engagement while reducing AI edge-cases across levels.
June 2025 (2025-06): Delivered core stability, visuals, and tooling for Failsafe. Focused on business value through reliable player controls, consistent HUD feedback, improved rendering, and streamlined build/test workflows, complemented by AI behavior enhancements and DI exploration to enable future modularity.
June 2025 (2025-06): Delivered core stability, visuals, and tooling for Failsafe. Focused on business value through reliable player controls, consistent HUD feedback, improved rendering, and streamlined build/test workflows, complemented by AI behavior enhancements and DI exploration to enable future modularity.
May 2025 performance summary for onirise/Failsafe: Delivered core gameplay enhancements and reliability improvements that drive user experience and maintainability. Key features delivered include AI-driven Audio and Sound System with Google Sheets data import and sound fading; a refreshed UI/UX with a new main menu and canvas polish; a project structure overhaul with asset reorganization and the DataCanter rename; and a patrol/alert system enhancement. Major stability efforts included a reworked retry mechanism, TextMeshPro rendering fixes, and encoding cleanup, resulting in a more reliable build and easier future iterations.
May 2025 performance summary for onirise/Failsafe: Delivered core gameplay enhancements and reliability improvements that drive user experience and maintainability. Key features delivered include AI-driven Audio and Sound System with Google Sheets data import and sound fading; a refreshed UI/UX with a new main menu and canvas polish; a project structure overhaul with asset reorganization and the DataCanter rename; and a patrol/alert system enhancement. Major stability efforts included a reworked retry mechanism, TextMeshPro rendering fixes, and encoding cleanup, resulting in a more reliable build and easier future iterations.
April 2025 Monthly Summary for onirise/Failsafe focusing on business value and technical achievements. Key features delivered: - Enemy AI System and Enhancements: Implemented a robust, modular AI with field of view, a state machine (patrol, chase, search, attack), support for new enemy types, improved detection including lighting-based visibility, and centralized AI data configuration; UI layout updated to support AI integration. Commits reflect progress across AI input, movement, and visibility work. - FMOD Audio Integration: Integrated FMOD middleware into Unity to enable advanced, configurable audio features, including API bindings, runtime management, settings, and studio components (emitters, listeners, parameters) for richer sound design and player immersion. Major bugs fixed: - Resolved conflicts in AI integration and refactoring ("Убрал конфликты"). - Refined lighting-based visibility and the enemy sight system to ensure more reliable detection ("Система освещения игрока и измененная система 'Зрения противника'"). - Stabilized AI/movement interactions and input handling during AI integration (covered across multiple commits). Overall impact and accomplishments: - Significantly deepened gameplay through a modular, extensible AI system and richer audio, enabling faster onboarding of new enemy types and features. - Improved player immersion and responsiveness due to more reliable enemy detection and richer sound design, with stronger traceability for future iterations. Technologies/skills demonstrated: - Unity 3D development, AI state machines, field of view algorithms, lighting-based visibility, UI integration, and FMOD audio integration; strong emphasis on modular data configuration and maintainable code changes.
April 2025 Monthly Summary for onirise/Failsafe focusing on business value and technical achievements. Key features delivered: - Enemy AI System and Enhancements: Implemented a robust, modular AI with field of view, a state machine (patrol, chase, search, attack), support for new enemy types, improved detection including lighting-based visibility, and centralized AI data configuration; UI layout updated to support AI integration. Commits reflect progress across AI input, movement, and visibility work. - FMOD Audio Integration: Integrated FMOD middleware into Unity to enable advanced, configurable audio features, including API bindings, runtime management, settings, and studio components (emitters, listeners, parameters) for richer sound design and player immersion. Major bugs fixed: - Resolved conflicts in AI integration and refactoring ("Убрал конфликты"). - Refined lighting-based visibility and the enemy sight system to ensure more reliable detection ("Система освещения игрока и измененная система 'Зрения противника'"). - Stabilized AI/movement interactions and input handling during AI integration (covered across multiple commits). Overall impact and accomplishments: - Significantly deepened gameplay through a modular, extensible AI system and richer audio, enabling faster onboarding of new enemy types and features. - Improved player immersion and responsiveness due to more reliable enemy detection and richer sound design, with stronger traceability for future iterations. Technologies/skills demonstrated: - Unity 3D development, AI state machines, field of view algorithms, lighting-based visibility, UI integration, and FMOD audio integration; strong emphasis on modular data configuration and maintainable code changes.

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