JobAI Platform (Side Project - In Development)

• GenAI platform currently under active development for intelligent job search
  automation using LLMs and RAG architecture.
• Designed with hexagonal (ports & adapters) architecture to ensure clean separation
  between domain logic, AI workflows, and infrastructure components.
• Ongoing implementation of multi-agent workflows for CV parsing, job matching,
  cover letter generation, and recruiter-style feedback.
• Development of retrieval-augmented generation (RAG) pipelines with vector
  embeddings for semantic search over job offers and candidate profiles.
• Backend architecture built with FastAPI, async processing, and modular AI services,
  designed for experimentation and future production scaling.
• Exploration of LLM orchestration patterns (prompt routing, tool calling, evaluation
  loops) inspired by LangChain / LangGraph.
• Dockerized development environment with CI-ready structure, focusing on testability,
  traceability, and evolvability of AI systems.

Tech stack: Python, FastAPI, LLMs (OpenAI-compatible), RAG, Vector Search, Hexagonal
Architecture, Docker, CI/CD