Marouane BENMOUSSA

At Iliad / Free, I led the groundbreaking project 'Arobase SI', revolutionizing the FTTH network management system with innovative PON technology.

• Orchestrated the development of Arobase SI, a pioneering FTTH network management system for ILIAD's Play subsidiary in Poland.
• Innovated an authentication server interface using React, enhancing user access and management capabilities.
• Engineered a comprehensive application for third-party system integration with the Core API, revolutionizing FTTH network management.
• Designed intuitive graphical interfaces for efficient network and optical route management.
• Developed robust relational databases using SQL for enhanced data management.
• Implemented a continuous deployment strategy (CI/CD) with GitLab and Swarm.
• Integrated AWS S3 for secure and efficient file storage solutions.
• Created an ETL pipeline with Logstash to improve address search functionality.

In my continuous efforts at Free, I took on the challenge of modernizing legacy systems for enhanced performance and scalability.

• Transitioned a legacy PHP project to a scalable, modern Golang-based architecture.
• Redesigned the Flux API in Go for improved performance and seamless integration.
• Configured and refined a GitLab CI/CD pipeline for optimized deployment using Docker Swarm.

Technical Environment: GO, Python, FastAPI, Gin, SQL, TDD, PostgreSQL, ELK, AWS S3, Docker, Docker Swarm, OpenAPI, Prometheus, Grafana

• Led the creation of a microservices-based document authentication system using FastAPI.
• Integrated the platform with Solana blockchain for secure digital transactions.
• Designed a user-friendly interface with Vue.js, focusing on enhanced user experience.

• Automated complex workflows within Hubspot CRM using advanced Python scripting.
• Orchestrated data engineering solutions using Elasticsearch, BigQuery, and MySQL for improved data analytics.

• Developed an integrated Google Meet and Calendar system for automated meeting scheduling.
• Implemented a custom alert system for business calendar management using predictive analytics.

• Designed tools for metrics analysis and performance tracking, integrating various data sources.
• Created interactive, AI-driven dashboards on Klipfolio for business intelligence and monitoring.

• Technical Environement: FastAPI, Flask, Javascript, Mysql, BigQuery, Docker, Docker-Compose

Design and implement an intelligent model capable of learning the physical laws of fluid mechanics, able to predict pollution dispersion in real-time over the Bas-Rhin region.

• Development of a Saas solution in Flask, which transfers the inputs provided by the user to a calculation server.
• Design and realization of an AI model using Deep Learning which allows to learn laws of physics in order to predict the dispersion of pollution in real time.
• Deployment of the AI solution online with Dash, Flask and Docker.
• Built a computational server in Nodejs that processes the studies received by the Saas and returns the results to the latter.
• Development of multiple APIs which receive data from all Air&D sensor networks, and insert data to the database.
• Development of the frontend in Vuejs to visualize the data flows received.


• Technical Stack : DEV(Flask, Nodejs, Vuejs, Postgresql, Docker), Machine Learning(CNN, MultiResUnet)