NexusAI
Enterprise AI Workflow Orchestrator & Real-Time Analytics Platform
-55% Token Overhead
Next.js 15 + Prisma
Architectural Challenges
Modern organizations struggle to connect heterogeneous data sources with LLMs while managing token consumption, streaming response latency, and role-based access control across cross-functional teams.
Engineering Strategy
Engineered an event-driven architecture using Next.js 15 Server Components, a high-speed FastAPI Python execution engine, Redis asynchronous queues, and PostgreSQL with Prisma. Built streaming UI with Server-Sent Events (SSE) and token usage analytics dashboards.
VERIFIED SYSTEM FEATURES
5 MODULESEngineered a visual node-based workflow builder supporting multi-model AI routing (OpenAI GPT-4o, Claude, DeepSeek) with real-time SSE streaming.
Architected high-throughput async processing pipeline using Redis and BullMQ to handle background data transformations.
Implemented PostgreSQL schema with Prisma ORM featuring indexed vector embeddings for instant semantic search across millions of documents.
Built comprehensive telemetry dashboard monitoring API latency, token costs, and workflow success rates with dynamic Recharts visualizers.
Integrated end-to-end type safety using TypeScript strict mode across frontend, backend contracts, and database models.