Scalable backend system for a feature-rich community platform with real-time messaging, hierarchical group structures, role-based permission management, recurring events, and low-latency architecture powered by Redis, PostgreSQL, and AWS.
Building a unified backend that could handle the complexity of hierarchical community structures, real-time low-latency messaging at scale, flexible permission systems, recurring event logic, and asynchronous media processing — all within a single cohesive and maintainable architecture.
Designed a modular backend with clearly separated concerns: WebSocket-driven real-time messaging layer, a Redis-backed caching strategy for hot data, PostgreSQL triggers for reactive database logic, a recurrence engine for event scheduling, and an AWS S3 + Lambda pipeline for non-blocking media handling — all tied together through a well-structured REST API.
Served as Backend Developer on a large-scale community platform, architecting and delivering the entire server-side infrastructure for an application centered around real-time communication, community organization, and collaborative tooling.
Designed and developed a comprehensive REST and WebSocket API layer supporting rich chat functionality — including text messages, file attachments, and media sharing — across multiple scopes: direct messaging, communities, groups, subgroups, and private rooms. The hierarchical group model was engineered with flexibility in mind, supporting multiple owners and admins per group with a granular permission management system that allows owners to define and delegate access controls at a fine-grained level.
Beyond messaging, the platform supports in-chat surveys and polls, enabling communities to collect structured input without leaving the conversation context. A recurring event system — modeled after the complexity of Google Calendar's recurrence rules — was implemented to handle one-time and repeating events with custom schedules across communities and groups.
The infrastructure was built for low latency at scale, leveraging Redis for caching frequently accessed data and session management, Amazon S3 with AWS Lambda for asynchronous image processing and media storage, and PostgreSQL triggers for event-driven database logic that keeps data consistent without bloating application-layer code.
Tangible Impact
Delivered a robust, low-latency backend capable of supporting real-time community interactions at scale, with a permission system flexible enough to accommodate diverse community governance models and an event infrastructure reliable enough for production scheduling use cases.
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