Features

A comprehensive career intelligence platform with modern architecture and production-ready features.

Upload PDF or DOCX files and automatically extract structured career data including work history, skills, and contact information.

Parse resumes into 28 entity types including career info, work history with details, job skills, addresses, and contact information.

Weaviate vector database with Ollama LLM for grounded AI queries. Returns answers with source attribution - no hallucinations.

Dual JWT signing (HS256/RS256) with refresh token rotation, JWKS endpoint for distributed validation, and GUID-based role claims.

Real-time event notifications with HMAC-SHA256 signed payloads. Subscribe to career data changes with automatic retry delivery.

Clean separation of commands and queries with MediatR. Maintainable, testable code with proper separation of concerns.

Production-ready Terraform IaC for Azure. App Services, SQL Server, and storage configured for scalable deployment.

Next.js 16 with App Router, React 19 Server Components, TypeScript, and Tailwind CSS 4 for a cutting-edge UI.

94+ test classes with xUnit, Moq, FluentAssertions, and WireMock.Net. In-memory EF Core for isolated integration tests.

Full dark mode support in the web application with Tailwind CSS. Respects system preferences and user choice.

Automated refresh token cleanup and webhook delivery with exponential backoff retry. Production-ready async processing.

Kubernetes-ready liveness and readiness probes. Monitors database, Weaviate, and Ollama connectivity.

System Architecture

Next.js 16

.NET 10 + MediatR

SQL Server + EF Core 10

PDF/DOCX parsing with OpenXML and PdfPig libraries for structured data extraction

Weaviate vector DB + Ollama LLM for grounded queries with source attribution

HMAC-signed event notifications with automatic retry delivery to external systems

Multi-tenant

Customer isolation

CQRS

MediatR handlers

JWT Auth

Refresh token rotation

Soft Delete

Audit logging