AI automation platform

PowerSync Automation Platform

A unified automation system connecting SQL, spreadsheets, marketplaces, shipping, project management, OpenAI, and Google Cloud.

SQLn8nOpenAIApprovaleBay

AI enrichment layerListing operations8+ connected tools

Case study

Problem, role, and solution.

A quick read of what had to change, where the engineering ownership sat, and how the final system answered the core project need.

Problem

Business data lived across disconnected systems, creating repeated manual updates, inconsistent product information, and operational friction across listing, fulfillment, and project tracking workflows.

My role

End-to-end architecture, backend automation, API integration, AI enrichment, deployment planning, and reliability design.

Solution

Designed a central automation platform that synchronizes records, enriches product information with AI, validates updates, and coordinates actions across business and e-commerce tools.

System evidence

Real screens from the PowerSync Automation Platform workflow.

These supporting visuals show the practical workflow, implementation details, and output quality behind the project.

PowerSync n8n automation orchestration screenshot showing a connected workflow with execution controls. — n8n automation orchestration

PowerSync Airtable data review screenshot showing eBay listing records and review status fields. — Airtable eBay data review

PowerSync ClickUp operations screenshot showing task tracking and operational status management. — ClickUp operations tasks

PowerSync batch approval dashboard screenshot showing milestone review, item counts, and approval actions. — Batch approval dashboard

Technical profile

Stack, integrations, and build risks.

A compact read of the tools, connection points, and engineering constraints behind this case study.

11 tools

Technology stack

PythonFastAPIn8nOpenAIGoogle CloudDockerSQLAirtableGoogle SheetsREST APIsWebhooks

8 links

Integrations

PowerLink SQLGoogle SheetsAirtableeBay APIShipStation APIClickUpOpenAIGoogle Cloud

4 risks

Engineering challenges

Coordinating records across systems with different data models.Preventing duplicate or stale updates during synchronization.Designing reliable error handling for external API failures.Keeping AI enrichment useful while preserving validation and human oversight.

Outcomes

What changed after delivery.

3 verified results

Built a unified platform for multi-system synchronization.

Enabled AI-assisted product enrichment and listing management.

Reduced the need for separate manual workflows across operational tools.