Mohamed Hakim

Software & AI Engineer with expertise in designing agentic AI systems and microservices architectures. Proficient in developing advanced RAG pipelines with long-term memory and observability. Combines strong backend engineering (Java, Spring Boot, Quarkus, Python, FastAPI) with modern frontend frameworks (Next.js, React) to deliver end-to-end, AI-driven web applications.

Software & AI Engineer - Hepheos - Mohammedia, Morocco

(2026)

• Architected a low-code multi-agent platform acting as a toolbox to create and manage agents easily.
• Built a knowledge base for agents combining Skills, a hybrid-search RAG pipeline, short-term memory, and long-term memory.
• Ensured agent reliability with validation gates using System-1 models, guardrails, middleware, and semantic caching.
• Implemented tool calling and MCP connections with human approval, and tracing through Langfuse.
• Built a frontend interface with response streaming support.

Software & AI Engineer Intern - Hepheos - Mohammedia, Morocco

(2026-02 - 2026-07)

• Architected an AI-driven data governance pipeline to automatically detect and flag data anomalies.
• Co-developed an AI-integrated project management platform, implementing secure, multi-tenant architecture using Keycloak.
• Designed and deployed a distributed microservices ecosystem utilizing Apache Kafka as the central message broker.
• Deployed and configured a private Docker Registry alongside GarageHQ to establish a secure, self-hosted enterprise storage solution.
• Established automated CI/CD deployment pipelines utilizing Bitbucket Pipelines and Bitbucket Packages to streamline application releases.

Master’s Degree - Distributed Systems and Artificial Intelligence - ENSET — Hassan II University (2024 - 2026)

Bachelor’s Degree - Software Engineering and Systems Administration - EST — Hassan II University (2023 - 2024)