Samuel Bakhshaei

• Cloud Engineering (GCP & AWS): IAM, Networking, Security, Monitoring, Scalability • FinOps: Cost Auditing and Optimization • Kubernetes: Design, Deployment and Administration of clusters (GKE, EKS) • GitOps: Governance and Deployment Automation using ArgoCD • CI/CD: Pipeline Design (GitLab CI, GitHub Actions, Ansible) • Infrastructure as Code: Cloud Infrastructure Deployment (Terraform) • Observability: Grafana, Prometheus, Dynatrace • Site Reliability Engineering (SRE) • Key Projects Cloud Migration (GCP / AWS) and Landing Zone Implementation Deployment of a Full GitOps Stack Design and Optimization of Kubernetes Clusters in Production Cloud Cost Optimization • Environment Cloud: GCP / AWS Languages: Python, Bash OS: Linux, Windows Tools: Docker, Kubernetes, ArgoCD, Terraform, Ansible, GitLab CI, GitHub Actions

Key missions: • Cloud Architect (Benchmark, Security, Networking, Scalability, FinOps, Monitoring) • Orchestration of Kubernetes clusters (GKE) and a GitOps platform (ArgoCD) • Design and deployment of CI/CD pipelines • Operation of a generative AI platform and implementation of Retrieval-Augmented Generation (RAG) architectures • Site Reliability Engineering (SRE) Cloud : GCP / AWS Languages : Python, Bash OS: Linux, Windows Tools : Docker, Kubernetes, Terraform, Gitlab CI/CD, ArgoCD

Project: Development of a Cloud-Based Visual Inspection Platform I played a key role in developing a cloud solution for visual inspection. This international project aims to transform quality control methods by detecting defects in high-resolution images using advanced machine learning models. Key missions: • Cloud Architect (Benchmark, Security, Networking, Scalability, FinOps, Monitoring) • Design and optimization of the Cloud Infrastructure on Azure • Deployment of the Cloud Infrastructure with Terraform (IaC) • Software Development • Creation of CI/CD pipelines to automate the deployment of software in factories • Monitoring of the Cloud platform • Site Reliability Engineering (SRE) Cloud : Azure Languages : Python, Bash, PowerShell OS: Windows, Linux Tools : Docker, Ansible, Terraform, Gitlab CI/CD Key results: Platform successfully deployed in over 15 factories worldwide

Construction of a Data platform for a major group leader in the Chemical industry. The objective is to build a solution to centralize and visualize a complex data flow. Key missions: • Design of the cloud infrastructure on Google Cloud Platform (GCP). • Deployment of the Cloud infrastructure with Terraform • Creation of Data ingestion Pipelines • Parsing a complex data flow • Design and deployment of CI/CD pipelines • Monitoring, Observability, SRE Cloud : GCP Languages : Python, Bash Tools : Gitlab CI/CD - Docker - Terraform Database: BigQuery

The objective of this R&D project is the development of an architecture allowing to Version, Deploy and Monitor Machine Learning models. Key missions: • Design and deployment of a robust MLOps Infrastructure • Deployment of the solution across multiple cloud platforms: AWS, Azure, GCP • Monitoring to track Machine Learning model performance Cloud : AWS, Azure, GCP Languages : Python, Bash OS: MacOs, Linux Database : PostgreSQL, MongoDB Tools : Docker, Gitlab CI/CD, Mlflow, Grafana, FastAPI

• Data Cleaning: Efficiently extracted and processed large datasets • API Integration: Seamlessly integrated various APIs to enhance application functionality. • Data Visualization: Developed dynamic and interactive dashboards for data visualization and analysis. • Cloud Deployment : Deployment of the solution on AWS Cloud : AWS Languages : Python, Bash Tools : Gitlab CI/CD - Docker - FastAPI