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2 years of experience

Skills

Python FastAPI LangChain LangGraph Large Language Models (LLMs) Retrieval Augmented Generation (RAG) Multi-Agent Systems Vector Databases (Weaviate, Qdrant, Elasticsearch) TensorFlow PyTorch Docker Kafka PostgreSQL AWS (Basics) Prompt Engineering

Experience

AI Engineer

GO&DEV, Morocco

2025-08 -

Built an AI‑powered parameterization system that parses Jira user stories and generates structured Excel configurations, integrating Elasticsearch, LangGraph and Weaviate with Docling and Gemini LLM. Designed a multi‑tenant AI agent platform for managing intelligent agents across clients and created RAG pipelines for ad‑campaign audit and recommendation using LangGraph orchestration. Implemented a full‑stack solution with React/Next.js frontend, Node.js/Python backend and integrated LLMs (Gemini, OpenAI, Claude), reducing manual configuration effort by 75 % through scalable agent‑based automation.

AI Engineering Intern

GO&DEV, Morocco

2025-06 - 2025-08

Architected an intelligent recruitment agent leveraging advanced NLP and RAG techniques to streamline candidate evaluation for enterprise clients. Developed a multi‑agent system with LangGraph that cut application processing time by 60 % via automated workflow optimization. Integrated Weaviate vector database for semantic search with multi‑vector embeddings, achieving over 95 % accuracy in CV parsing and information extraction. Optimized Mistral LLMs for document processing and OCR using sophisticated prompt engineering.

Languages

English

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Last updated: 3 days ago