El Mehdi Benyoussef

Software & Data Architect with 10+ years of experience designing robust, scalable, and high-performance systems across data platforms, software engineering, and applied AI. Deep expertise in Apache Spark, distributed Big Data architectures, and end-to-end software system design — from data lake to production ML microservices. Proven track record of architecting production-grade pipelines, defining architecture standards, and leading engineering teams. Simultaneously active as an Innovation Leader (FABLAB Manager), driving rapid prototyping and AI-assisted development for digital transformation initiatives. Co-founder of multiple tech startups, with hands-on experience building AI-powered products from zero to deployment.

Core Expertise

Professional Experience

Software & Data Architect - FABLAB Innovation Manager, Leyton (Nov 2021 – Present, Casablanca, Morocco)

• Own end-to-end software and data architecture across all company systems, ensuring scalability, high availability, maintainability, and security.
• Architected and industrialized Spark batch job pipelines: end-to-end job submission, monitoring, and supervision via Apache Livy, Jenkins, and Airflow on a Hadoop cluster.
• Designed a middleware architecture for real-time data synchronization between Salesforce and Odoo using Kafka, Debezium (CDC), and Redis.
• Designed a reference architecture for asynchronous task execution: FastAPI + Celery + Redis + Airflow + Flower monitoring — now a reusable standard across teams.
• Defined and enforced architecture standards, design patterns, and software engineering best practices across engineering teams.
• Lead the FABLAB as an Innovation Manager: driving rapid prototyping, AI-assisted development, and digital innovation projects for the business.
• Mentor and coach senior engineers on solution architecture, system design, and complex problem-solving methodologies.

Head of Engineering (Part-time), Inowaiv IA (Nov 2024 – Present, Casablanca, Morocco)

• Designing scalable data architectures for AI-driven solutions, enabling real-time decision-making and intelligent automation.
• Leading development of AI systems and multi-agent frameworks, streamlining complex business processes and enhancing accuracy.
• Architected an AI-driven automation system for large-scale participant management using Azure OpenAI, LangChain, Azure Functions, MongoDB, and Prometheus.
• Developed a generative AI correction tool for automated assessments using Azure Cognitive Services, FastAPI, Elasticsearch, and Airflow.
• Implemented a multi-agent AI framework for custom business solutions using AgentScope, Kafka, AKS, Azure Cosmos DB, and Grafana.
• Created a scalable AI data pipeline for real-time insights using Azure Databricks, Spark, Azure API Management, Redis, and Kibana.
• Deployed a conversational AI agent for client interaction optimization using RAGApp, Azure OpenAI, Managed Identity, and PostgreSQL.
• Aligned technical roadmaps with business goals, directing cross-functional teams from prototyping through production deployment.

Co-Founder & Software and Data Architect (Part-time), Archipel Cognitive (May 2021 – Present, Casablanca, Morocco)

• Designed internal and client-facing software and data architectures for AI-powered B2B and B2C products from scratch.
• Implemented a Load Balancer architecture for Azure OpenAI Services using Azure API Management, Azure Active Directory, and Managed Identity.
• Architected an automated, frequency-based ETL data pipeline for social data ingestion using Azure ADF, Azure Serverless Functions, and Managed Elasticsearch.
• Built Achgal Insights: a social listening and analytics product, covering full data pipeline architecture through to AI-powered insight generation.
• Guided client engineering teams in adopting robust software architecture practices and scalable data platform designs.

Big Data Systems Architecture Consultant, Independent (Aug 2020 – Oct 2021, Casablanca, Morocco)

• Designed end-to-end data solution architecture for a large-scale Ambari-managed Hadoop cluster.
• Built an industrialized pipeline for Spark Job submission and real-time supervision via Livy, Jenkins, and Airflow — establishing a reusable pattern for all future Spark workloads.
• Diagnosed and resolved critical resource allocation bottlenecks on a production Big Data cluster, restoring full operational stability.

Co-Founder & Head of Technologies, DECOD (Jan 2020 – Jan 2022, Casablanca, Morocco)

• Designed and led development of AI and data platform architectures for enterprise digital transformation projects.

Head of Data Science, The Good Data Factory (Dec 2019 – Jul 2020, Rabat, Morocco)

• Led the Data Science department, delivering AI solutions for US and Moroccan markets.
• Architected and deployed ML solutions as microservice APIs on Azure Cloud, leveraging AKS, Azure Functions, and Azure Blob Storage.
• Defined data & AI technical strategy as a member of the Executive Board.

Product Lead - Data & Machine Learning Engineer, The Good Data Factory (Dec 2017 – Dec 2019, Rabat, Morocco)

• Led a cross-functional team of Data Scientists and Data Engineers building an AI-powered Marketing platform.
• Designed the software architecture combining Data Engineering and Data Science pipelines for scalable ML delivery.
• Applied software engineering best practices (versioning, CI/CD, testing) to deliver robust Python-based ML solutions on Azure Cloud.

Key Architecture Projects

Technical Skills

Certifications & Awards

• Azure AZ-900 — Microsoft (2023)
• Big Data Developer Mastery Award for Students — IBM (2016)

Education

Master’s in Engineering and Systems Optimization (2014 - 2016)
Faculty of Science Ain Chock, University of Hassan II, Casablanca, Morocco.

Bachelor of Mathematics and Computer Science (2011 - 2014)
Faculty of Science Ain Chock, University of Hassan II, Casablanca, Morocco.

Get in Touch

Reach out to discuss opportunities or collaborations. Contact me at elmehdibenyoussef@gmail.com or call me at (+212) 657507236.

• elmehdibenyoussef@gmail.com
• Somewhere On Earth