CASE STUDY

Case Study Review Pack

Full case-study coverage of the project, including business problem, product scope, architecture, implementation decisions, test evidence, and hiring value.

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Problem and Product Scope

Built a full-stack museum platform covering ticketing, memberships, catalogue browsing, commerce, checkout, contact, and admin-facing operations.
Designed it as a realistic product demo rather than a static showcase, with seeded datasets and user flows that reflect actual application behavior.
Created audience-specific public documentation so the project can be reviewed safely even when the source repository remains private.

Implementation Overview

Frontend: React Native application with web support, screen-based navigation, authentication flows, cart context, and role-aware experiences.
Backend: Express API with route/controller/repository separation and service modules for mailing, payment abstraction, startup checks, and monitoring hooks.
Persistence: SQLite-backed relational model for users, products, artists, artworks, collections, exhibitions, orders, contacts, and reset tokens.
UX refinement: clickable artists, collections, and shop items, artwork detail interactions, logout support, and artist pagination.

Architecture Design

Case Study System View Implementation Boundary

Interaction Layer

Users move through discovery, auth, cart, checkout, and admin screens in a domain-based client.

Business Logic Layer

The API translates user actions into validated business operations and protected workflows.

Relational Data Layer

SQLite persistence supports catalogue data, users, orders, contacts, and operational records.

UI journey -> validated workflow -> stored operational data

This board makes the implementation story visible from UI action to stored data.

The system is designed around three explicit layers: client experience, API and business orchestration, and relational persistence.
Frontend contexts and screens support the user journey, while backend routes, controllers, services, and repositories isolate responsibilities.
This architecture design makes the project easier to explain in interviews because features can be traced from UI action to stored data.

Quality and Delivery Evidence

Implemented automated backend and frontend test suites to verify business flows and screen behavior.
Added CI workflows for test execution, security checks, Pages publication, and demo-health validation.
Included deterministic verification commands such as verify:demo and demo:health to support fast review and repeatable demos.

Why This Project Matters

Shows full-stack ownership from user interface through API and data model design.
Demonstrates communication maturity by translating the same implementation for recruiters, managers, and IT reviewers.
Provides a portfolio artifact that is practical for interviews, stakeholder reviews, and hiring conversations.