Engineering disciplines

Unity and Unreal Engine simulation development including custom gameplay systems, AI behaviors, physics integration, vehicle systems, and high-fidelity visual effects. C++ engine extension, Blueprints, C# scripting, Niagara VFX, and performance optimization for sustained 60+ FPS in complex training scenarios.

Training simulation experience spans Unity, Unreal Engine 4, and Unreal Engine 5, including engagements that require moving between engines or maintaining parallel codebases inside a single program portfolio.

This capability is demonstrated directly in the MilSpec FPV Drone Simulation — an internal technology demonstrator built in C++ on Unreal Engine 5.7, with a deterministic flight model, multi-spectral sensors, and live in-engine telemetry.

Geo-specific and geo-typical terrain construction, large-world streaming including Cesium and one-world terrain approaches, and environmental fidelity for training and analysis applications.

nDisplay configuration for dome and curved-screen training installations, cluster rendering, multi-projector calibration, frame-locked synchronization, and VR/AR/MR integration for immersive training environments — including standalone Meta Quest deployment.

Integration of AI and LLM capabilities into simulations and applications, including natural-language control of simulation state, automated scenario generation, and validated tool-use pipelines. Also applied internally as AI-assisted development workflow to shorten iteration cycles on production engineering work.

Spatialized audio simulation including environmental acoustics and equipment and vehicle signature audio for immersive training applications.

UAV and unmanned ground system modeling and simulation for training and analysis applications.

Procedural training scenario design, after-action review systems, and adaptive difficulty for high-fidelity training applications across defense, industrial, and enterprise contexts.

DIS integration in both Unity and Unreal for distributed simulation, including entity state exchange and interoperability with existing simulation federations. Experience working inside HLA-based simulation environments.

Ballistics and physics modeling, architecture and performance optimization, legacy modernization, custom tooling, and systems integration with M&S infrastructure — built to specific client requirements.