Upay KPI Workspace
A production internal platform that turns multi-role KPI operations into a controlled, auditable workflow—from monthly setup and progress capture through review and reporting.
Engineering evidence
- My contribution
- End-to-end engineering ownership · Discovery, architecture, implementation, hardening, and production rollout
- Outcome
- Deployed to production for internal KPI operations
- Decision record 01
- Kept authorization and workflow transitions server-side and used PostgreSQL across CI and production so concurrency and integrity behavior are tested against the real database engine.
Technical highlights
- 01
Modeled a multi-stage monthly operating lifecycle as guarded state transitions instead of loosely connected forms and manual handoffs.
- 02
Enforced capability-based authorization and record-level confidentiality on the server, backed by regression coverage for access, elevation, and cross-user data boundaries.
- 03
Built the production path around versioned containers, PostgreSQL-aligned CI, health checks, backup and rollback procedures, audit integrity, and bounded file handling.
Abstract
Upay KPI Workspace is an internal production platform built around the complete lifecycle of KPI operations. My work spans workflow discovery, product boundaries, full-stack architecture, authorization, transactional domain logic, testing, deployment, and operational readiness. Because the system is confidential, this public case study describes only engineering patterns and outcomes; it publishes no internal data, infrastructure addresses, proprietary rules, source repository, or production access path.
Stack
- Next.js
- TypeScript
- Django REST Framework
- PostgreSQL
- Redis
- Docker