CAE USA
- authored the HTTP and SignalR surfaces of a real-time biometrics capture platform in C#/.NET, since fielded in a live military training exercise, with hub group routing that lets browser clients, classifiers, and device services share one telemetry stream.
- built a python serial bridge carrying Emotibit biosensor output into the platform, mapping raw signal codes to semantic telemetry and hand-framing SignalR WebSocket handshakes so non-.NET services join the hub as first-class clients.
- designed and ran a 10-participant study on the platform, defining the capture protocol and session structure that turned live biosensor output into the labeled telemetry dataset used to evaluate classifier performance.