I am a Computer Science graduate focused on AI engineering and the development of production-ready AI-powered systems.
I specialize in designing and building end-to-end AI solutions, including retrieval-augmented generation (RAG) pipelines, API-driven backends, and containerized deployments. My work emphasizes maintainability, scalability, and practical enterprise adoption rather than experimentation alone.
Recent projects include an AI Knowledge Assistant that ingests internal documents, performs semantic search using vector databases, and generates grounded responses via RAG. I designed the system architecture, implemented the ingestion and retrieval pipelines, exposed the solution through FastAPI, and containerized it with Docker for reproducible deployment.
