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01Unity systems / Multiplayer VR Private repository

VR De-escalation Training

A privacy-conscious multiplayer training environment for police officers practicing coordinated de-escalation scenarios.

Context

Working with a research team on a federally funded VR training system built for realistic, multi-officer practice. My current focus is the multiplayer layer: evaluating a self-hosted Mirror architecture, synchronizing interactions, and building the Unity systems that make a shared scene feel coherent.

Engineering contributions

  • Prototype shared-scene multiplayer for multiple officers
  • Build locomotion, menus, physical interactions, and custom VR mechanics
  • Evaluate networking architecture around privacy-sensitive project data
  • Coordinate iterative deliverables across undergraduates and PhD researchers

System path

01Quest clients
02Unity simulation
03Mirror transport
04Lab-hosted session

This work is represented as a case study because its research repository and implementation details are private.

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