Gemini Developper Contest
Explaining the Gemini Developper Contest
Bridging the gap between raw data and actionable intelligence. Turning complex models into scalable systems.
Data Enginner - AI & ML Engineer
As a Junior Data Engineer and Scientist, I am enthusiastic about leveraging data, AI, and cloud technologies to solve complex problems and drive innovation. My passion for development and cloud computing fuels my continuous learning and exploration in these dynamic fields. I hold certifications such as Google Cloud Professional Data Engineer (2024), Google Cloud Professional Machine Learning Engineer (2024), GitHub Foundations (2024), and Terraform Associate, demonstrating my expertise in cloud-based solutions and infrastructure. These certifications reflect my commitment to mastering cutting-edge technologies and delivering impactful solutions. With a strong commitment to growth and collaboration, I am eager to connect with like-minded professionals and contribute to exciting projects in data, AI, and cloud computing. Let's innovate and create impactful solutions together!
Veolia is a global leader in environmental services, providing innovative solutions in water, waste, and energy management to promote sustainability and resource efficiency.
A mobile app enhancing online reselling experience. Submitted to [Gemini API Developer Competition 2024](https://ai.google.dev/competition/projects/vision-vendor).
Implementation of a Restricted Boltzmann Machine (RBM) trained on the Binary AlphaDigits dataset using Contrastive Divergence. Covers image generation, hyperparameter tuning, and character count influence experiments across multiple Jupyter notebooks. Includes a companion research report (Chen & Sebti).
This course covers the fundamentals of using Linux for data engineering tasks. You'll learn how to configure and customize Bash and zsh shells, manipulate data using shell scripting, and build command-line tools for automation. It also includes hands-on labs to manage file systems, search data, and control permissions using Bash and other adjacent tools such as Makefiles and Dockerfiles.
This certification validates expertise in designing and building data processing systems on Google Cloud. Topics include machine learning, data pipeline creation, data storage optimization, and security practices. It emphasizes best practices in handling large-scale data systems and machine learning integration.
This course offers a hands-on introduction to managing infrastructure as code using Terraform on Google Cloud. It guides you through setting up cloud resources, managing infrastructure configurations, and automating infrastructure tasks efficiently. You'll also learn best practices for handling real-world system design challenges.
This course provides fundamental project management skills, focusing on planning, organizing, and controlling projects efficiently. Participants learn to apply tools and methodologies for handling real-world projects, emphasizing Agile methodologies and the use of modern project management software.
Received Master of Science (M.Sc.) in Computer Science and Engineering from ENSTA Paris in France, 2025.