Backend & AI Engineer at Casablanca (Freelance / Self-Employed)

Designed and shipped a multi-agent matching system (Lang Graph + Crew AI) with planner, retriever, and validator agents; integrated a Python-based embedding/retrieval layer (vector store + hybrid ranking) as primary recall and deterministic fallback; built ML Ops layer with data ingestion pipelines, embeddings, vector indexing, model + prompt versioning, offline eval datasets, and trace/cost/latency monitoring. Owned end-to-end DevOps: Postgres schema, Celery/Redis workers, Docker-based containers, Kubernetes, and CI/CD with GitHub Actions; established unit and integration tests across agents and critical flows.

Backend Engineer at Casablanca (Freelance)

Built a Django backend for a crypto/stock trading application with REST APIs, secure trade execution, and real-time updates. Integrated an OpenAI-powered agent for market analysis and trading signal generation.

Backend Engineer at UM6P Benguerir

Developed a Python backend for the UM6P faculty/staff hiring platform, exposing REST APIs consumed by the frontend. Integrated an AI candidate-assistant chat bot using LangChain and a RAG pipeline, deployed via Docker/Nginx on staging and production.

Backend & AI Engineer at Casablanca (Guidya Casablanca)

Shipped a multi-agent matching system with Lang Graph + Crew AI; layered embedding-based recall with vector store and hybrid ranking; built ML Ops pipelines, embedding indexing, model/versioning, and monitoring. Implemented embedded retrieval layer for regulated data; DevOps end-to-end with containers, Kubernetes, and CI/CD; test suites across agents.