# Production Tracking System

> A real-time production-monitoring system with predictive analytics and automated bottleneck detection — replacing day-late manual reporting with live signals for operational and management teams.

- Canonical: https://hasib.tech/work/protrac
- Role: Tech Lead — Backend
- Year: 2025
- Category: Real-Time Systems
- Stack: Django, FastAPI, PostgreSQL, Redis, Predictive Analytics
- Reporting: Day-late → real-time
- Signal: Automated bottleneck detection

Production reporting that arrives a day late is a report about a problem you
can no longer fix. This system replaced hand-compiled, after-the-fact
reporting with live signals — built as one of the SaaS platforms I architected
as Tech Lead at Hours Media.

## Real-time, on the floor

The system tracks production as it runs and surfaces deviation when it starts,
not the next morning: **automated bottleneck detection** across the line and
**predictive analytics** that flag where output is trending before it becomes
a shortfall. Operational and management teams work from the same live picture.

## Architected to operate

I owned the architecture end to end — Django and FastAPI services on
PostgreSQL with Redis powering the real-time layer — and the data model and
analytics that turn a stream of floor events into decisions teams can act on
in the moment.