Distributed Task
Processing

Background work moved off the request path. Jobs are queued, distributed across worker processes, retried on failure, and observable while they run — the plumbing every long-running feature ends up needing.

What I built

1. i.

   Architected a distributed task processing system using FastAPI, Celery, and Redis, enabling asynchronous execution of background jobs across multiple worker processes.

2. ii.

   Designed resilient task workflows with queue-based processing, retry policies, status monitoring, and failure recovery mechanisms to ensure reliable and scalable job execution.