Enterprise Retail In-Shop Assistance Platform

01 / Overview

Business context

Retail operations required reliable customer-engagement workflows, client-specific interfaces, reporting and production support across multiple store environments. Client-identifying details and proprietary workflows are intentionally omitted.

02 / Role & responsibilities

Role and responsibilities

• Owned key platform modules from requirements through production support.
• Participated in client discussions, coordinated junior developers and mentored interns.
• Worked across backend APIs, frontend integration, data workflows and deployment.

03 / Frontend

Frontend contribution

• Integrated React interfaces with backend services and client-specific workflows.
• Built operational dashboards using Chart.js.
• Worked with a UI team while also implementing application functionality.

04 / Backend & data

Backend and data

• Converted existing application functionality into Flask REST APIs and developed new API capabilities.
• Worked with PostgreSQL and MySQL schemas containing large operational datasets.
• Implemented authentication, campaign workflows, reporting and integrations.

05 / Automation & production

Automation and production

• Created Python automation for reports, campaign data, scheduled email, files and database maintenance.
• Deployed and supported applications using AWS EC2, S3, RDS, Linux, Nginx and Gunicorn.
• Handled environment configuration, SSL, DNS and production services.

06 / Outcomes

Outcome and impact

07 / Technology

Technology used

• Python
• Flask
• React
• PostgreSQL
• MySQL
• Chart.js
• AWS EC2
• AWS S3
• AWS RDS
• AWS IAM
• Linux
• Nginx
• Gunicorn