Welcome to my GitHub profile! I'm a freelance Cloud Architect with a passion for designing, building, and optimizing cloud infrastructure. With several years of experience in the field, I've worked with clients ranging from startups to large enterprises, helping them achieve scalable, secure, and cost-effective cloud solutions.

• Location: Houilles, France but available for remote work worldwide
• Languages: Python, C/C++, CUDA, C#, Java, PHP, JavaScript, OCaml, SQL, HTML, CSS
• Cloud Providers: Azure, AWS, Google Cloud
• Certifications:
  • AZ-5OO - Azure Security Engineer Associate
  • Azure Solutions Architect Expert (on the way)
• Email: [email protected]
• Website: https://www.thomas-roiseux.techfusion-innovation.com

I provide a range of cloud architecture services, including but not limited to:

• Cloud Strategy & Consulting: Helping businesses develop a tailored cloud strategy aligned with their goals.
• Infrastructure Design: Designing scalable and resilient cloud architectures using best practices.
• Migration Services: Assisting with the seamless migration of on-premises applications to the cloud.
• DevOps & Automation: Implementing CI/CD pipelines, IaC (Infrastructure as Code), and automation to streamline operations.
• Security & Compliance: Ensuring cloud environments are secure, compliant with industry standards, and follow best practices.
• Cost Optimization: Identifying opportunities to reduce cloud costs without compromising on performance.

• Cloud Platforms: AWS, Azure, Google Cloud
• Infrastructure as Code: Terraform, CloudFormation, Ansible
• Containers & Orchestration: Docker, Kubernetes, ECS
• High Performance Computing (HPC): Slurm, OpenMPI, CUDA, OpenMP, threaded applications
• CI/CD: Jenkins, GitLab CI, GitHub Actions, Azure Pipelines
• Monitoring & Logging: Prometheus, Grafana, ELK Stack, CloudWatch, ElasticSearch
• Security: IAM, VPC, KMS

On this GitHub profile, you'll find a selection of my work, including:

• Financial Data API: an Azure-based API that provides real-time financial data to clients. The API is built in Python, using Azure Functions, Azure Blob Stroage, and Azure Key Vault. It is available at https://financial-data.mathquantlab.com. Swagger documentation is on the way.
• XVA simulation using Monte-Carlo and CUDA: a high-performance computing (HPC) application that calculates XVA (Counterparty Risk) using Monte-Carlo simulations. The application is based on Python and CUDA to run simulations on GPUs, and is also written in C++ for CPU-based simulations. CUDA C++ code is coming soon.
• Open Source Contribution:
  • Rudy Morel's Scattering Spectra: a Python package designed to identify patterns in financial data using wavelets. I optimized parts of the code and fixed a bug related to the platform's compatibility.
  • Rudy Morel's Shadowing: a Python package designed to run Monte-Carlo simulations using the shadowing technique. I contributed to the codebase by optimizing the code and improving the documentation.

I'm currently focusing on:

• HPC cluster on Azure: a compute cluster that runs high-performance computing (HPC) workloads on Azure.
• Learning: Azure Solutions Architect Expert certification.

I'm always open to discussing new projects, potential collaborations, or even just chatting about cloud technologies. Feel free to reach out to me through any of the following channels:

• LinkedIn: https://www.linkedin.com/in/thomas-roiseux
• Email: [email protected]
• Malt: https://www.malt.fr/profile/thomasroiseux

Thank you for visiting my profile, and I look forward to connecting with you!

Note: This README is continuously evolving as I take on new challenges and learn new skills. Stay tuned for updates!