
Madzwo developed interactive gameplay systems and AI-driven features for the Cozy-Crow/CrowHeist_Prototype repository over six months, focusing on scalable mechanics and robust scene management. They engineered Roomba patrol and interaction logic, integrated cutscene camera orchestration using Unity and Cinemachine, and enhanced environmental interactivity with prefab-driven door and puzzle systems. Leveraging C# scripting and Unity’s physics and collision detection, Madzwo refined object pickup, throw, and puzzle mechanics to improve playability and reduce edge-case errors. Their work included establishing dedicated test scenes and navigation fixes, resulting in a stable, extensible codebase that supports rapid iteration, QA readiness, and immersive player experiences.

February 2026 monthly summary for Cozy-Crow/CrowHeist_Prototype: Delivered core gameplay improvements and new content across multiple puzzles, strengthening reliability, player engagement, and QA readiness. Implemented refined object interaction, expanded puzzle content with new prefabs and mechanics, and established testing environments to accelerate iteration and design validation. These efforts align with roadmap goals to improve playability, reduce edge-case bugs, and increase developer velocity.
February 2026 monthly summary for Cozy-Crow/CrowHeist_Prototype: Delivered core gameplay improvements and new content across multiple puzzles, strengthening reliability, player engagement, and QA readiness. Implemented refined object interaction, expanded puzzle content with new prefabs and mechanics, and established testing environments to accelerate iteration and design validation. These efforts align with roadmap goals to improve playability, reduce edge-case bugs, and increase developer velocity.
January 2026 performance summary for Cozy-Crow/CrowHeist_Prototype: Delivered core gameplay and tooling enhancements, improved AI behavior, and strengthened testing infrastructure. Focused on delivering business value through scalable cutscenes, robust Roomba patrol logic, and visual/prefab polish, while stabilizing scene assets to support faster iteration and QA.
January 2026 performance summary for Cozy-Crow/CrowHeist_Prototype: Delivered core gameplay and tooling enhancements, improved AI behavior, and strengthened testing infrastructure. Focused on delivering business value through scalable cutscenes, robust Roomba patrol logic, and visual/prefab polish, while stabilizing scene assets to support faster iteration and QA.
December 2025 monthly summary for Cozy-Crow/CrowHeist_Prototype. Focused on delivering immersive gameplay features, strengthening environmental interactivity, and stabilizing navigation in preparation for broader playtesting and QA cycles.
December 2025 monthly summary for Cozy-Crow/CrowHeist_Prototype. Focused on delivering immersive gameplay features, strengthening environmental interactivity, and stabilizing navigation in preparation for broader playtesting and QA cycles.
November 2025 performance: Delivered an integrated Roomba-driven interaction suite for Cozy-Crow/CrowHeist_Prototype, including a vase-tipping mechanic, enhanced visuals, a robust cutscene camera system, and an object-dispensing mechanic. Also fixed a critical dart rotation/jump bug to ensure correct orientation when picked up. These work items improved gameplay realism, visual fidelity, and playability, while establishing a scalable prefab-driven architecture for future enhancements.
November 2025 performance: Delivered an integrated Roomba-driven interaction suite for Cozy-Crow/CrowHeist_Prototype, including a vase-tipping mechanic, enhanced visuals, a robust cutscene camera system, and an object-dispensing mechanic. Also fixed a critical dart rotation/jump bug to ensure correct orientation when picked up. These work items improved gameplay realism, visual fidelity, and playability, while establishing a scalable prefab-driven architecture for future enhancements.
October 2025: Delivered the Dart Game Mechanic in Cozy-Crow/CrowHeist_Prototype, establishing a functional mini-game loop with pickup, throw, and stick mechanics, plus visual feedback (particle effects on hits and bullseye). The feature is backed by a focused commit (Dart Board) 3a736749efed706ea83bdae99883cf563717acf2. This work lays the foundation for gameplay pacing, scoring, and UX testing in the prototype, enabling rapid iteration and validation of core gameplay mechanics.
October 2025: Delivered the Dart Game Mechanic in Cozy-Crow/CrowHeist_Prototype, establishing a functional mini-game loop with pickup, throw, and stick mechanics, plus visual feedback (particle effects on hits and bullseye). The feature is backed by a focused commit (Dart Board) 3a736749efed706ea83bdae99883cf563717acf2. This work lays the foundation for gameplay pacing, scoring, and UX testing in the prototype, enabling rapid iteration and validation of core gameplay mechanics.
Month: 2025-09 | Focused feature delivery for Cozy-Crow/CrowHeist_Prototype with end-to-end Roomba patrol and interaction capabilities. Delivered a Roomba Patrol Activation and Surface Interaction System featuring four patrol points, an activation gate so Roomba remains docked until player interaction, and a SurfaceCheck mechanism to detect player interactions. Extended level geometry with surface collision detection on the 2nd floor to enable walkable and interactable surfaces. This work establishes a scalable AI pattern and multi-floor interaction foundation for future gameplay scenarios.
Month: 2025-09 | Focused feature delivery for Cozy-Crow/CrowHeist_Prototype with end-to-end Roomba patrol and interaction capabilities. Delivered a Roomba Patrol Activation and Surface Interaction System featuring four patrol points, an activation gate so Roomba remains docked until player interaction, and a SurfaceCheck mechanism to detect player interactions. Extended level geometry with surface collision detection on the 2nd floor to enable walkable and interactable surfaces. This work establishes a scalable AI pattern and multi-floor interaction foundation for future gameplay scenarios.
Overview of all repositories you've contributed to across your timeline