Issa El Kadri

Designed and deployed LLM-based AI agents using Retrieval-Augmented Generation (RAG) with LangChain and OpenAI APIs. Implemented FAISS vector similarity search to enable scalable, low-latency document retrieval across large datasets. Integrated modular agent workflows using LangGraph for maintainable and extensible AI pipelines.

Developed and deployed AI-driven systems using RAG, Llama 3.1, and Flask APIs for intelligent, context-aware responses. Built a smart e-commerce assistant with intent detection, function calling, and policy grounding, improving customer interaction efficiency. Designed a React + Tailwind storefront integrating AI support for seamless user experience. Authored prompt frameworks and structured datasets to standardize assistant behavior and maintain accuracy. Delivered a live analytics dashboard tracking performance, system health, and AI metrics.

Developed AI-driven systems using RAG, Llama 3.1, and Flask APIs for context-aware user interactions. Built a smart e-commerce assistant with intent detection, function calling, and policy grounding. Designed structured prompt templates and evaluation workflows to improve response accuracy and reliability. Delivered a live analytics dashboard monitoring AI performance, system health, and usage metrics.