I am a Senior Cloud Architect, specializing in DevOps and Site Reliability Engineering (SRE) on Google Cloud.

I have been accumulating working experience on Google Cloud since mid-2018. First as a customer at Renault, where I contributed to the rise and adoption of the cloud. I cleared 4 Google Cloud certifications in the process: Cloud Engineer, Cloud Architect, Cloud Data Engineer and Cloud DevOps Engineer.

Beyond general software engineering, data engineering, DevOps and cloud architecture, I specialize in Site Reliability Engineering. SRE was invented by Google in 2004 to address scaling and communication issues on business-critical workloads that require a balance between stability and innovation. Now you can learn from our 20-year experience too and apply the same principles to your workloads/teams. To learn more, reach out to me or browse our dedicated website at https://sre.google/

Jul 2022 - Present

Containers, serverless, Kubernetes, DevOps, CI/CD, GitOps, SRE...

Jun 2020 – Jun 2022

In order to help our customers solve their biggest problems and transform their business using the best of Google, I ensure our partners become the best pre-sales and delivery extension of our Google Cloud business.

On top of my daily responsibilities with our partner ecosystem, I contribute to driving awareness and adoption around Site Reliability Engineering (SRE). For example by co-leading The Art of SLOs workshops. Also by engaging with customers/partners who want to understand how Google mesures reliability and why we came up with SRE in the first place.

Mar 2020 – May 2020

I help Renault scale and modernize its technical stack by:

• migrating the GCP Infrastructure-as-Code from Terraform 11 to Terraform 12
• creating a Terraform module that lets end-users provision firewall rules in a critical GCP project with a self-service approach (compared to a centralized, slow and less secure approach before)
• improving the security of the provisioning processes with terraform-validator and custom security policies/constraints
• automating the generation and storage of sensitive GCP credentials in Vault (compared to a mostly manual workflow based on GitLab CI variables before)
• coaching project teams and operational teams on the value of Cloud, DevOps and MLOps.

Sep 2018 – Feb 2020

Working hand in hand with Data Scientists and Data Engineers, I contribute to applying DevOps principles to the world of Big Data, Machine Learning and Data Analytics. I focus on production readiness, end-to-end automated deployment and minimum time-to-market.

I am currently involved in:

• Prototyping Kubeflow, the "Machine Learning Toolkit for Kubernetes", in collaboration with Product Managers and Machine Learning Specialists at Google
• Migrating our corporate on-premise Hadoop datalake to GCP
• Defining corporate guidelines regarding data sharing, data governance, authentication and authorization at the organization level
• Automating the provisioning of sandbox, development and production environments on GCP for project teams
• Developing pilots of Data Science use cases with Data Scientists and Data Engineers
• Consulting Data Scientists and Data Engineers on Cloud, DevOps (MLOps) and architecture topics

2000 – 2005

Issued Oct 2019, Expires Oct 2021

Credential ID 13860791

Issued Sep 2019, Expires Sep 2021

Credential ID 13727048

Mar 2019 – Present

The Google Developers Groups (GDG) are groups of people interested in Google Platforms and Technologies: Android, Chrome, Google Apps, Angular, Cloud… These groups promote sharing, learning, connecting and growing. They can be found all around the world.

The objective of GDG Paris is to organise events regularly. The DevFest, or ‘Developers Festival’, is one such event. It is a technical conference for developers aimed at students, professionals or simply curious technophiles. The 2020 edition of the DevFest Paris took place on Feb 14th with 900 attendees and 36 speakers on 5 parallel tracks. A record!

Nov 2018

Score: 980/990