AI-driven XR crisis-training simulator
Product architecture for an AI/VR crisis-management simulator that turns cognitive training data into adaptive decision-support insights.
Welcome! I’m Peter—an applied scientist specializing in human–machine interaction and intelligent systems. I design and deploy end-to-end Artificial Intelligence (AI), Extended Reality (XR), and data-driven solutions that translate research into scalable, real-world impact.
Building ML and GenAI systems deployed in real-world and immersive environments
Predictive modeling, RAG/LLM workflows, learning analytics, and applied experimentation that connect model output to decisions people can use.
Designing immersive systems to support computational thinking and spatial reasoning development.
CAVE VR research, Meta Quest prototyping, digital twins, LiDAR/GIS workflows, and adaptive immersive learning environments.
Building scalable Risk Modeling & Predictive Analytics models to identify, forecast, and mitigate operational and business risks.
Large-scale risk scoring, capacity forecasting, scenario planning, dashboarding, and infrastructure decisions backed by statistical evidence.
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Product architecture for an AI/VR crisis-management simulator that turns cognitive training data into adaptive decision-support insights.
High-fidelity immersive engineering systems for rapid prototyping, studying computational thinking development, spatial reasoning, engagement, and workforce training experience.
Large-scale statistical modeling and ML workflows for logistics risk detection, cost variability simulation, and storage capacity planning.
Driving AI/XR research and productization from strategy through development, leading end-to-end data science and LLM initiatives, and building experimentation frameworks to deliver scalable, production-ready solutions and measurable impact across cross-functional teams.
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