ZAKARIA ANZID

As part of the Big Data & HPC division at Eviden/Atos, I am contributing to the design and development of an MLOps Platform as a Service (MLOpsaaS) to support scalable, reproducible, and automated AI workflows across HPC, cloud, and edge environments. The platform is built using open-source MLOps components and runs on Kubernetes, which serves as the foundation for orchestration, deployment, and infrastructure abstraction. My work focuses on: - Designing and deploying CI/CD pipelines for machine learning workflows - Managing data and model versioning - Implementing workflow orchestration using Kubernetes-native tools - Enabling automated, containerized model deployment and monitoring - Evaluating scalability, usability, and robustness of the platform The project is integrated with Jarvice AI, Atos’s internal AI infrastructure, and is developed within an agile R&D team. The outcome is intended to serve as a reference implementation, internal guide, or product prototype, with an emphasis on supporting emerging generative AI use cases.

orchestration d'un cloud privé (cluster k3s) sur un groupe de Raspberry

Provided technical advice and IoT solutions to clients, encouraging them to schedule online product demonstrations. Assisted in the selection, configuration, and programming of Teltonika FMB series GPS devices, integrating IoT solutions to meet specific client needs. Programmed GPS devices for custom functionalities such as fuel management, real-time tracking, route optimization, and remote vehicle monitoring. Explained advanced features of Teltonika FMB devices, including IoT connectivity for fleet management, vehicle performance tracking, and enhanced security.

Web content creation. Article creation and article curation. Website's development and optimization (Wordpress). Website optimization for advertising networks (Such as Google AdSense and Taboola).

Participated in a Python programming bootcamp. Gained fundamental knowledge in modeling (Regression vs. Classification) and neural networks. Developed and trained a handwritten digit recognition model using TensorFlow, including data import, model creation, compilation, training, and evaluation.

I used to make phone calls, in English, on behalf of people as an online gig. it included calling customer services, private companies and individuals. Identify and assess the customer's needs in order to achieve the pre-agreed results.