full stack technical write-up
Behn Meyer Agricare System
Internal workflow tools and API-backed operations
The Agricare system focused on making internal processes easier to track, update, and reason about through practical software rather than spreadsheet-heavy coordination.
Problem / motivation
Operational teams need software that reduces repetitive coordination, preserves clean records, and gives users confidence that the current state is accurate.
Key technical challenges
- Translating informal business processes into durable data models.
- Designing APIs around actual workflow steps instead of abstract CRUD alone.
- Keeping the interface efficient for repeated internal use.
Architecture / workflow
How the system fits together
PostgreSQL stores operational entities, status changes, and user-facing records.
API layer exposes workflow operations with validation and clear resource boundaries.
Frontend views organize status, actions, and record details for daily use.
Deployment and feedback loops support iteration with real operational stakeholders.
What I built
- Database-backed workflow features for tracking and updates.
- API endpoints for internal tool operations.
- User-facing screens oriented around status, action, and accountability.
Outcomes / metrics
- Improved workflow support for internal users.
- Experience building practical software under real stakeholder constraints.
Lessons learned
- Internal tools succeed when they fit the rhythm of the team using them.
- Clear data modeling is often the difference between a helpful tool and another place to duplicate work.
Screenshots / media
Visual evidence placeholders
Replace these panels with screenshots, demos, diagrams, or notebook exports as each artifact becomes ready for publishing.
Media
Workflow dashboard
Operational records grouped by status and next action.