Athletify's Sports Staff Scheduling Platform

Athletify is a sports and recreation management platform built to help athletic organizations and parks & recreation departments manage staff scheduling and daily operations more efficiently.

It allows administrators to schedule referees, coaches, lifeguards, and facility staff, track availability, prevent conflicts, and coordinate across multiple locations in real time.

At Athletify, I was responsible for building the platform end-to-end from designing the system architecture and database to developing the frontend experience, backend services, and real-time infrastructure.

Tech Stack: Next.js, React, TypeScript, Node.js, GoLang, PostgreSQL, Redis, REST APIs, WebSockets, Tailwind CSS, Shadcn UI

Build and scale a reliable sports staff scheduling platform that could handle complex shift coordination, prevent scheduling conflicts, and support real-time updates across multiple organizations and locations.

• Handling complex scheduling rules (multiple roles, locations, overlapping shifts, recurring events). • Preventing double-booking when multiple users interact with shifts at the same time. • Designing clear permission structures for admins, managers, and staff. • Keeping schedule updates synchronized instantly across web and devices. • Managing labor-hour calculations and compliance-related tracking. • Ensuring the system stayed fast and responsive as data grew.

I designed and delivered a scalable workforce scheduling platform, taking full ownership from architecture to production deployment.

I architected the overall system, defining the database structure and API design to support long-term scalability and multi-organization usage. The backend was built with Node.js and TypeScript, structured for maintainability, performance, and clean separation of concerns.

At the core of the platform, I developed an intelligent scheduling engine that automatically checks availability, conflicts, and hour limits. To ensure data integrity, I implemented secure shift-claim and swap logic using database transactions to prevent race conditions in concurrent scenarios.

For real-time collaboration, I integrated WebSockets and Redis so schedule updates reflected instantly across teams. On the frontend, I built a responsive interface using Next.js and React, including drag-and-drop calendar views, filtering tools, and reusable UI components to maintain consistency and scalability.

I implemented role-based access control to enforce secure, scoped permissions across organizations, along with reporting tools for hour tracking and staff utilization. Database queries and caching strategies were optimized to maintain strong performance under heavy usage.

I delivered a stable, production-ready scheduling platform that significantly reduced manual coordination and scheduling conflicts for administrators.

The system enabled real-time collaboration across multiple teams and locations, ensuring schedule updates were instantly reflected for all users.

Organizations were able to manage hundreds of staff members efficiently through automated conflict detection and secure shift management workflows.

Operational visibility improved through accurate reporting, hour tracking, and staff utilization insights, supporting better workforce planning decisions.

The platform maintained strong performance under heavy usage, demonstrating scalability, reliability, and long-term maintainability.