---
type: system
title: Automated translation pipeline for 30+ languages
domain: e-commerce
services: [ai-automation]
skills: [Pipeline Design, Task Queues, Operations Automation]
technologies: [Python, Celery, Yandex Cloud Translate, PostgreSQL, Redis]
problem: An e-commerce platform expanding internationally needed its catalog and content localized into 30+ languages; manual translation could not keep pace with content changes.
approach: Built an automated translation service on Celery task queues integrated with Yandex Cloud Translate — processing content changes asynchronously, storing localized versions for delivery, and keeping humans in the loop for spot-checks.
result: Continuous localization into 30+ languages without manual steps in the loop, processing content changes as they happened — an early production example of the supervised-automation pattern I now build with LLMs.
evidence: Described in work history (Amit agency, 2020–2022).
public_links: []
available_for: public discussion
language: en
canonical: https://asmanmalikov.com/en/proof/auto-translation-pipeline/
---

# Automated translation pipeline for 30+ languages

- **Problem:** An e-commerce platform expanding internationally needed its catalog and content localized into 30+ languages; manual translation could not keep pace with content changes.
- **Approach:** Built an automated translation service on Celery task queues integrated with Yandex Cloud Translate — processing content changes asynchronously, storing localized versions for delivery, and keeping humans in the loop for spot-checks.
- **Result:** Continuous localization into 30+ languages without manual steps in the loop, processing content changes as they happened — an early production example of the supervised-automation pattern I now build with LLMs.
- **Evidence:** Described in work history (Amit agency, 2020–2022).