2026

Enterprise logistics & order workflow engine for a regional food events company — automating delivery polygons, dynamic pricing, and real-time customer notifications.

Role: Lead Product Engineer (Architecture & UI) Tech Stack: Python, FastAPI, React/UI, PostgreSQL (Supabase), Google Cloud Platform (Cloud Run), Docker, Asyncio.

The client’s regional operations were bottlenecked by a manual, disjointed system. Processing logistics, calculating complex delivery polygons, applying dynamic pricing tiers, and notifying customers required multiple human touchpoints. This resulted in high operational latency and an increased margin for critical errors as the business tried to scale.

I approached this challenge with a Design-to-Deployment mindset: mapping out a flawless user experience first, and then engineering a highly fault-tolerant, event-driven backend to support it.

1. Zero-Friction UI & Frontend Leveraged my background in design to build an intuitive, reactive interface that abstracts the underlying complexity away from the operators, reducing training time to near zero.

2. Serverless Orchestration (GCP & Python) Engineered a central OrderWorkflowManager using Python and FastAPI. The backend is containerized via a multi-stage Dockerfile and deployed on Google Cloud Run, heavily optimized to eliminate cold starts and maintain response times under 200ms.

3. Event-Driven & Async Processing To prevent UI blocking during heavy operations, I implemented advanced asyncio patterns. While the system computes complex ray-casting for delivery polygons via Google Maps and executes ACID transactions to PostgreSQL, it simultaneously:

Generates physical PDF receipts in memory and uploads them to Google Cloud Storage.

Synchronizes deals and customer data with Pipedrive CRM.

Triggers real-time WhatsApp Webhooks via Respond.io.

Delivered a robust system covered by +100 unit tests (pytest + mocking) to guarantee zero downtime in production. The platform entirely digitized the organization’s regional workflow, transforming a slow, error-prone manual process into an automated, real-time logistics engine.

System Architecture Diagram

Python FastAPI React PostgreSQL (Supabase) Google Cloud Platform Docker Asyncio

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