Revolutionize Logistics: Boost Efficiency with FastAPI Tracking

Revolutionize Logistics: Boost Efficiency with FastAPI TrackingRevolutionize Logistics: Boost Efficiency with FastAPI Tracking

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Павел Голдин

• Mar 30

Logistics company.

Shipment statuses updated manually, clients called to ask where their cargo was.

Built FastAPI tracking service with WebSocket for real-time updates. Celery workers with retry mechanisms for polling external APIs. Idempotent keys on every event. Redis Pub/Sub for broadcasting statuses to clients.

Zero data loss on external API failures. Manager workload reduced by 70%. Uptime 99.9%.

Completed work

Backend Development Desktop Apps Development FastAPI PostgreSQL Redis

Павел Голдин

• Mar 30

Ad Tech Platform

Setting up one ad campaign took 4 hours of manual work. Traffic data arrived with a 24-hour delay.

Built FastAPI backend for config orchestration. Redis cache for heavy aggregations. Real-time dashboard via async event processor.

Setup time: 240 min → 15 min. 100% uptime throughout the engagement.

Completed work

Backend Development PostgreSQL Redis FastAPI

Павел Голдин

• Mar 30

Crypto Payment Backend

Cryptocurrency platform with unreliable transaction processing — duplicate credits appearing under high load.

Built event-driven backend: idempotent keys on every credit operation, async verification via Celery with exponential retries, SELECT FOR UPDATE NOWAIT on balance operations. Webhook queue with guaranteed delivery.

Zero duplicate credits over 8 months in production. Throughput x4. Webhook delivery 100%.

Completed work

Backend Development Database Engineering Desktop Apps Development FastAPI PostgreSQL Redis

Korey Poggemoeller

• Mar 30

Senior Software Engineer & AI Automation

I designed and developed this AI-powered lead automation system as a Senior Software Engineer specializing in AI automation and workflow engineering. The system automatically monitors a lead database and triggers a processing pipeline whenever a new lead appears. It intelligently filters and qualifies leads based on predefined conditions, then uses AI to generate contextual messages and summaries. This automation eliminates manual lead handling, improves response speed, and ensures that only high-quality leads move through the workflow.

After the AI generates the message, the system formats and parses the content before automatically sending notifications to internal teams through communication channels such as Slack and email. The workflow then updates the database with the processed results, keeping all records synchronized. This project demonstrates my ability to build scalable automation systems that integrate databases, AI services, and communication platforms to create efficient, real-time business workflows.