I'm Nour Nirabi, an AI Engineer and Automation Specialist focused on building reliable, production-ready AI solutions. I develop LLM applications, RAG systems and workflow automations that integrate data, business processes and modern technology to improve efficiency and deliver measurable results.
I'm an AI Engineer and Automation Specialist who takes AI systems from idea to production — data extraction, RAG pipelines, LLM integration and the orchestration that keeps it all running without manual upkeep.
At Wonder Beauties I owned the full automation lifecycle: discovery, design, deployment, monitoring and maintenance — turning repetitive cross-departmental work into automated, self-optimizing flows across Shopify, CRM and fulfillment systems.
AI assistant that analyzes symptoms and surfaces possible conditions using RAG over a 773-disease dataset, with hybrid dense + sparse retrieval and a Gradio interface.
Conversational AI helping fresh graduates practice real-world skills through interactive simulations, building a personalized roadmap toward job readiness.
An n8n workflow where an AI agent parses expenses sent via Telegram text or voice — extracting date, item, amount and location — and logs them straight to Google Sheets.
Generates descriptive captions for uploaded images, comparing Xception and EfficientNetV2L feature extractors with a Bi-LSTM decoder and GloVe embeddings.
Analysis of e-commerce sales data using Python, Excel and Power BI — cleaning raw data, then visualizing trends, top products and regional performance.
Classifies news articles into categories like Politics, Health, Sport and Science using a Bidirectional LSTM with attention and pretrained GloVe embeddings.
Open to AI engineering and automation roles. Reach out directly, or find me on LinkedIn and GitHub.