Data · Postgres · Docker
Decision-Fragility Simulator
Risk and stability scoring system that turns user actions into measurable fragility signals.
Overview
A simulation and reporting project designed to model decision fragility through sequential processing, database-backed storage, and interpretable reporting. It was built as a deployable AI and data system with a practical risk lens.
Evidence
- 1
Built ingestion and analytics workflows to compute fragility scores.
- 2
Generated structured reports from stored user action data.
- 3
Prepared the project for public deployment with a production-ready container flow.
Skills Used
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I build production-style AI, data, backend, and cloud systems with a focus on real usability, structured design, and deployable architecture.