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Real-Time Systems & AI

Real-Time Chat & AI Assistance

Low-Latency WebSocket Streaming & OpenAI Automated Assistant Integration

Customer communications platforms relying on traditional HTTP polling suffer from noticeable message delays, unnecessary server load, and lack automated intelligent triage for immediate support.

Founder AttributionAbdul Moiz Arif
Industry / MarketReal-Time Communications & AI
Engineering TimelineFounder work
CategoryReal-Time Systems & AI
Interactive Interface & System VisualizationClick to inspect micro-states
Real-Time Chat & AI Assistant
AWS Lambda WebSockets • OpenAI API
WebSocket Connected
Active Channels
Tenant Assistant BotLive
Automated tier-1 triage active...
DevOps Incident Room12m
Azure Service Bus queues healthy
Clinical Client Stream1h
Records verified and synchronized

How does the multitenant message router handle priority event spikes?

10:14 AM

Messages are partitioned by tenant_id into dedicated Azure Service Bus topic subscriptions. High-priority queues auto-scale independent Azure Function instances, guaranteeing under 50ms ingestion latency even during sudden batch loads.

10:14 AM
The Engineering Challenge /

What Was Broken?

Customer communications platforms relying on traditional HTTP polling suffer from noticeable message delays, unnecessary server load, and lack automated intelligent triage for immediate support.

The Architectural Solution /

How We Solved It

Delivered a real-time messaging application leveraging AWS Lambda with WebSocket connections for instant bidirectional message delivery, integrated with an OpenAI API-powered assistant for automated response generation.

System Components & Architecture:

  • AWS API Gateway WebSocket connection management tracking active socket connection IDs in a lightweight table
  • Serverless AWS Lambda functions executing message broadcast, persistence, and state synchronization
  • Integration with OpenAI API streaming endpoints providing contextual, automated assistance to end users
  • Asynchronous event dispatch ensuring human-to-human messages remain instantaneous even during AI inference calls

Engineering Highlights & Benchmarks:

  • Achieved sub-100ms real-time message propagation via persistent WebSocket channels
  • Integrated OpenAI API assistant with prompt constraints for domain-specific response reliability
  • Engineered zero-downtime serverless architecture scaling automatically with active concurrent chats
Engineering Scope & Responsibilities /

Software engineering by co-founder Abdul Moiz Arif, delivering the AWS Lambda WebSocket handlers, real-time message pipelines, and OpenAI chatbot integration.

Transparency Disclosure: Professional project experience by co-founder Abdul Moiz Arif. Interactive chat interfaces on this site use clearly identified synthetic sample messages.
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