
William Behnke developed core observability and visualization features for the uni-bremen-agst/SEE Unity repository, focusing on robust telemetry and interactive data exploration. He architected and integrated an OpenTelemetry-based framework in C# to enable end-to-end tracing, granular player action analytics, and reliable lifecycle management across both desktop and VR gameplay. His work included refactoring telemetry configuration, enhancing resource management, and implementing dynamic UI elements for telemetry settings. Additionally, William delivered a graph visualization system using Unity primitives and 3D modeling, establishing a foundation for interactive data exploration. The solutions addressed performance monitoring, debugging, and user interaction requirements with technical depth.

Delivered Graph Visualization System for Data Points in uni-bremen-agst/SEE (Unity). Implemented rendering and interaction primitives (MonoBehaviours, MeshRenderers, BoxColliders, LineRenderers) and wired up visualization in the Unity scene. This milestone, anchored by commit 4612d8c49ae94ec690b027ff663961a9cd9d1bd2 (thesis closed status), establishes a solid foundation for data exploration demonstrations and future feature work in SEE.
Delivered Graph Visualization System for Data Points in uni-bremen-agst/SEE (Unity). Implemented rendering and interaction primitives (MonoBehaviours, MeshRenderers, BoxColliders, LineRenderers) and wired up visualization in the Unity scene. This milestone, anchored by commit 4612d8c49ae94ec690b027ff663961a9cd9d1bd2 (thesis closed status), establishes a solid foundation for data exploration demonstrations and future feature work in SEE.
June 2025 — Consolidated telemetry observability for the SEE project across desktop and VR, delivering a robust OpenTelemetry integration, remote configuration stability, and VR hover/movement telemetry. This work establishes a data-driven foundation for gameplay analytics, performance optimization, and reliable telemetry collection with smooth lifecycle management.
June 2025 — Consolidated telemetry observability for the SEE project across desktop and VR, delivering a robust OpenTelemetry integration, remote configuration stability, and VR hover/movement telemetry. This work establishes a data-driven foundation for gameplay analytics, performance optimization, and reliable telemetry collection with smooth lifecycle management.
May 2025 monthly summary for uni-bremen-agst/SEE focusing on telemetry, observability, and performance improvements. Delivered an OpenTelemetry integration overhaul with instance-based tracing, centralized lifecycle management, remote export support, and user telemetry settings; enhanced telemetry granularity for player actions; improved stability and resource management; and validated local log-data delivery.
May 2025 monthly summary for uni-bremen-agst/SEE focusing on telemetry, observability, and performance improvements. Delivered an OpenTelemetry integration overhaul with instance-based tracing, centralized lifecycle management, remote export support, and user telemetry settings; enhanced telemetry granularity for player actions; improved stability and resource management; and validated local log-data delivery.
March 2025: OpenTelemetry observability framework delivered for the SEE application, enabling end-to-end tracing, enhanced debugging, and operational visibility. Implemented telemetry manager and helpers, integrated tracing into input actions and movement logic, and added lifecycle initialization/shutdown to ensure proper startup and cleanup. Updated dependencies to support the framework and reduce friction for future instrumentation. No critical bugs fixed this month; focus was on building a robust observability foundation to accelerate issue detection and performance optimization.
March 2025: OpenTelemetry observability framework delivered for the SEE application, enabling end-to-end tracing, enhanced debugging, and operational visibility. Implemented telemetry manager and helpers, integrated tracing into input actions and movement logic, and added lifecycle initialization/shutdown to ensure proper startup and cleanup. Updated dependencies to support the framework and reduce friction for future instrumentation. No critical bugs fixed this month; focus was on building a robust observability foundation to accelerate issue detection and performance optimization.
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