
Liisa Mahlamäki developed core VR interaction features for the FarmasiaVR/farmasia-vr repository, focusing on reusable 3D assets and interactive scene components. She created and integrated the BigTestTubeStand and TestTube prefabs, establishing grabbable behaviors and liquid-content visualization to support realistic experimentation workflows. Using Unity, C#, and the XR Interaction Toolkit, Liisa implemented PCM script scaffolding, collider tuning, and kinematic prefabs to improve reliability and enable rapid prototyping. Her work included systematic code cleanup, asset management, and scene setup, resulting in scalable VR demos and streamlined validation of experimental setups, with a strong emphasis on maintainability and iterative development.

November 2024 performance summary for FarmasiaVR/farmasia-vr. Delivered end-to-end integration of BigTestTubeStand with TestTube PCM and scene setup, establishing upright stand behavior, multiple sockets, and PCM linkage for realistic experimentation workflows. Expanded the system to support five TestTubes, introduced reusable prefabs for rapid iteration, and implemented TestTube functionality with liquid-content visualization. Improved VR interaction reliability through collider and grabbability improvements and tuned socket interaction layers. Performed systematic cleanup to remove hidden/redundant assets and refined pivot alignment for precise assembly. Business impact: enables scalable VR demos and faster validation of experimental setups, reducing setup time for demos by tightening integration between hardware mockups and scene logic. Supports future expansion to additional tubes and more complex liquid-content scenarios.
November 2024 performance summary for FarmasiaVR/farmasia-vr. Delivered end-to-end integration of BigTestTubeStand with TestTube PCM and scene setup, establishing upright stand behavior, multiple sockets, and PCM linkage for realistic experimentation workflows. Expanded the system to support five TestTubes, introduced reusable prefabs for rapid iteration, and implemented TestTube functionality with liquid-content visualization. Improved VR interaction reliability through collider and grabbability improvements and tuned socket interaction layers. Performed systematic cleanup to remove hidden/redundant assets and refined pivot alignment for precise assembly. Business impact: enables scalable VR demos and faster validation of experimental setups, reducing setup time for demos by tightening integration between hardware mockups and scene logic. Supports future expansion to additional tubes and more complex liquid-content scenarios.
Month 2024-10 Summary for FarmasiaVR/farmasia-vr: Delivered core VR asset creation and interactive enhancements, establishing reusable components to accelerate testing and iteration in VR workflows. Implemented BigTestTubeStand asset creation and integration (including related prefabs) and enhanced interactivity (grabbable) within the scene. Established TestTube VR interactive object setup with initial interaction layer and PCM script scaffolding to support future interactions. No explicit major bugs fixed in the provided data; the focus was on feature delivery, scene integration, and stability improvements. Overall impact: improved testing readiness, faster prototyping, and a solid foundation for ongoing VR interactions. Technologies/skills demonstrated: Unity asset pipeline, prefab workflows, 3D asset creation, VR interaction design (grabbable/collider behavior), PCM script scaffolding, and Git-based collaboration with clear commit messages.
Month 2024-10 Summary for FarmasiaVR/farmasia-vr: Delivered core VR asset creation and interactive enhancements, establishing reusable components to accelerate testing and iteration in VR workflows. Implemented BigTestTubeStand asset creation and integration (including related prefabs) and enhanced interactivity (grabbable) within the scene. Established TestTube VR interactive object setup with initial interaction layer and PCM script scaffolding to support future interactions. No explicit major bugs fixed in the provided data; the focus was on feature delivery, scene integration, and stability improvements. Overall impact: improved testing readiness, faster prototyping, and a solid foundation for ongoing VR interactions. Technologies/skills demonstrated: Unity asset pipeline, prefab workflows, 3D asset creation, VR interaction design (grabbable/collider behavior), PCM script scaffolding, and Git-based collaboration with clear commit messages.
Overview of all repositories you've contributed to across your timeline