Development of ServeOS Restaurant Management System

ServeOS is an all-in-one restaurant management system developed at Serveup Engineering to streamline restaurant operations, from order processing to payments, customer engagement, and business insights. The platform was designed to solve common pain points in restaurant workflows, such as manual order tracking, fragmented payment handling, and inefficient customer reward programs.

As a Full Stack Developer, I played a pivotal role in designing, developing, and delivering the platform’s frontend interface and backend microservices. On the frontend, I built responsive dashboards in React/Next.js, ensuring smooth and intuitive user experiences for restaurant managers and staff. On the backend, I architected Node.js microservices and PostgreSQL databases to handle large volumes of transactions reliably , on Replit .

ServeOS was engineered not just for functionality, but also for scalability, reliability, and adoption. One of the standout features was the voucher generation and redemption system.

Designed and implemented relational schemas in MySQL to manage restaurants’ most critical data, including menus, orders, staff logs, and customer records.

Built scalable Node.js servers that supported modular development, allowing new features to be deployed quickly without affecting core operations.

Developed a voucher generation and redemption service, enabling restaurants to issue promotional offers and loyalty rewards to customers.

Designed the system to handle high redemption volumes during peak hours without performance degradation.

Designed responsive UI components, ensuring that both staff-facing and management-facing UI's worked across desktop and tablet devices.

Implemented CI/CD pipelines to automate testing and deployment, reducing downtime and speeding up release cycles.

🚀 Business Adoption: Increased adoption due to the voucher service, making ServeOS a competitive platform in the restaurant SaaS market.

💡 Customer Engagement: Delivered tools like vouchers and promotions that helped restaurants retain customers and increase repeat visits.

🔍 Scalability: The services and MySQL-based architecture enabled the platform to handle thousands of daily transactions without latency issues.

🛠️ Engineering Culture: Improved deployment reliability, enforced coding standards, and set up practices that allowed the engineering team to move faster while maintaining code quality.