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Sylvain KomguemSK

Sylvain Komguem

CLOUD ARCHITECT / DEVOPS / SRE

€910/day
Paris, FR
15+ years

Average response time: 1 hour

Freelancer profile translated to English.
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About Sylvain

I have been working in enterprise IT for over 20 years, supporting them in their transformation programs and projects.
The roles held range from architect, DevOps, SRE, Ops, and Dev in various domains including digital transformations, cloud projects, Data Integration, Process Integration, B2B / B2C Integration, Application Integration, Internet of Things (IoT).
Data is at the heart of this approach, which can lead to consulting on governance strategies and operational management.
To complete my skill portfolio, I undergo various training and/or certifications with the aim of providing you with quality service and tailored to your needs. Do not hesitate to contact me to discuss it.
  • French

    Native or bilingual

  • English

    Fluent

  • Italian

    Native or bilingual

Can work on-site
Paris (up to 50km)

Experience

  • BNP Paribas Leasing solution
    Cloud Expert / ITOPS
    BANKING AND INSURANCE
    November 2024 - Today (1 year and 9 months)
    Levallois-Perret, France
    Support the deployment of the Dataiku Data Science platform in the dedicated BNP private cloud to structure its operation and governance.

    + Architecture workshops to establish deployment patterns (specific case of private cloud) for the Dataiku solution in line with banking compliance rules and GDPR by design.
    + Creation of cloud resources via API/Swagger.
    + Creation of run resources via Terraform.
    + Implementation of publisher scripts on security (Python code execution environment) and CISO RSSI policies.
    + Automation via Ansible for environment provisioning with creation of playbooks/roles and associated assets on Ansible Tower.
    + IAM integration (human and application identity management), websso, Ldap, Saml.
    + Secret management with Hashicorp Vault (static and dynamic secrets, authentication methods jwt cert and kubernetes).
    + Preparation of environments for spark job execution (local and remote computations in Kubernetes).
    + Use of JFROG as a Docker image registry, Python and Linux artifact repository.
    + Integration with Gitlab for SCM and Gitlabci for CI/CD with artifact (image) scanning.
    + Integration of Dataiku with Kubernetes for remote execution of containerized workloads.
    + Use of cgroups / impersonation of Data Scientists to enhance security.
    + MLOPS monitoring of the platform.
    + Use of Dynatrace/EFK for monitoring and logging of various environments.
    + Use of internal LLM to accelerate various aspects of our daily activities concerning run and project phases.
    Ansible Terraform Dataiku DSS JFrog Artifactory Hashicorp Vault
  • SAVENCIA
    Integration Architect
    AGRICULTURE
    April 2024 - September 2024 (5 months)
    Versailles, France
    Support a major COGNIZANT client on an MDM project by designing the data integration solution aligned with business needs.
    + Architecture deliverables.
    + Detailed functional specifications for flows.
    + Detailed specifications for flow mapping.
    + Support for the offshore development team for integration and explanation of specifications, as well as for onboarding tools and environments.

    Technical environment built around Talend Cloud, Stibo Step, Azure Apim, Azure Storage, Azure DevOps.
    Talend Cloud Stibo Step Azure APIM Azure Storage Azure DevOps
  • RYYDE CONSULTING
    MLOPS
    TECH
    January 2024 - March 2024 (2 months)
    Paris, France
    Experiments and developments in AI/ML on Apple infrastructure.
    Exploration of AI inference, tensor analysis, and deep learning with TensorFlow (Python) and Apple MLX, applied to computer vision.

    + Use of high-performance Apple hardware (M2 Pro Max / 96 GB RAM / 16 ANE cores / 38 GPU cores).
    + Setup of virtual machines under Asahi Linux for running Machine Learning jobs.
    + Attempt to integrate Apple GPUs as a device plugin on Kubernetes (instructive experience despite failure).
    + Experimentation with Kubeflow and MLflow platforms for orchestrating and tracking ML experiments.
    + Use of automation and deployment tools: Ansible, Vagrant, Minikube, CRC (OpenShift).
    GPU Kubernetes Python MLOps OpenShift

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Education

  • COMPUTER ENGINEERING, TERZA FACOLTA di INGEGNERIA
    POLITECNICO DI TORINO
    2009
    INGENIEUR en INFORMATIQUE, TERZA FACOLTA di INGEGNERIA
  • MASTER'S DEGREE IN COMPUTER SCIENCE, Faculty of Sciences
    University of Yaoundé
    2002
    MAITRISE EN INFORMATIQUE, Faculté des sciences

Certifications

Skill set

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