Freelancer profile translated to English.
Back to original languageAbout Quentin
Welcome everyone!
I helpdata, IT, and businessteams to reliably, securely, and economically manage theircloudplatforms (GCP) in production.
Coming from the energy and industry sector, I understand **operational and regulatory constraints**. I work closely with teams to build solutions that are understandable, maintainable, and **aligned with business objectives**.
My areas of intervention:
- 🧱DevOps and ModelOps Industrialization:Implementation of ModelOps and DevOps stacks to transform data science and application models into robust, integrated, and scalable solutions through unified, automated, and clearly governed pipelines.
- ☁️Cloud & FinOps Optimization:Adoption of serverless, cloud-native architectures and FinOps practices to maximize performance and budget control, with resources adjusted to actual needs.
- 🔐Security & Compliance:Strengthening security on infrastructure (IaC, IAM), applications (Docker, Kubernetes), and data (databases, secrets) through best practices, appropriate tools, and training.
- 🧩IaC Automation & Governance:Implementation of an Infrastructure-as-Code approach integrated into CI/CD pipelines to automate, version, and make deployments reliable, ensuring transparent, scalable, and maintainable management.
- 🚦Maintenance & Continuous Improvement:Monitoring, updates, incident management, and continuous optimization to maintain secure, up-to-date infrastructures aligned with business needs and SLAs.
Let's discuss your business and infrastructure challenges!
My full CV and a detailed portfolio are available upon request.
Quentin.
French
Native or bilingual
English
Fluent
Can work on-site
Lyon (up to 10km), Paris (up to 10km)
Experience
- elmy - BCM EnergyData Platform Engineer - ModelOpsENERGY AND UTILITIESJanuary 2022 - October 2025 (3 years and 9 months)Lyon, FranceAssistingdata science**, **trading**, and **developmentteams in industrializing numerical calculation codes anddeployingapplications on theGCPcloud environment.
Missions
- Design and management of ModelOps/MLOps & data pipelines (runtime & data).
- Complete structuring of ingestion and processing pipelines (**BigQuery**, **dbt**, **Airflow**).
- Deployment of applications and ML models (**Docker**, **Kubernetes**, **GCP Cloud Run**, **Airflow**).
- Implementation of a complete Infrastructure as Code (**Terraform**).
- Implementation of CI/CD and continuous deployment (**Jenkins**, **ArgoCD**).
- Setup of monitoring & observability (**Grafana**,Datadog**) and **FinOpspractices.
- Evangelization of best practices: quality, security, testing, governance.
- Cross-functional development for the tech team (**Python**, **Groovy**, **Julia**).
Results
*Reliable and industrializedcomputing platforms.- Accelerated production deployments.
- **Control of cloud costs**.
- Planète OUI - BCM EnergyData Scientist - Market AnalystENERGY AND UTILITIESJanuary 2019 - January 2022 (3 years)Lyon, FranceDesign ofnumerical modelsfor theoperational managementof aggregation portfolios andproduction forecastingin the renewable energy sector (wind, photovoltaic, hydro).
Missions
- Development ofproduction forecasting models(intraday, spot, long term) for wind, solar, and hydro.
- Design ofpricing modelsforaggregationoffers.
- Market performance analysis of assets and portfolios.
- Industrialization of processes and models (**Docker**, **Airflow**).
- Various developments (**Python**, **Julia**).
Results
- Deployment ofdecision supporttools for operations and trading.
- **Reliable forecasts**.
- Improved portfolio performance tracking.
- EDF R&DResearch Engineer (PhD)ENERGY AND UTILITIESJanuary 2015 - January 2018 (3 years)Saclay, FranceCIFRE thesis on the reliable and robust design of offshore wind turbines using meta-models: "Kriging based methods for the structural damage assessment of offshore wind turbines" (manuscript available online on theses.fr).
- **Applications**: acceleration of numerical calculation processes, certification.
- **Supervision**: Dr. Nicolas Relun [EDF] and Prof. Nicolas Gayton [IFMA].
Missions
- Development of numerical meta-models for **reducing simulation costs**.
- Implementation ofmassively parallel processingon clusters.
- Developments inPython& **OpenTURNS**.
- Automation (bashscripting).
Results
- **Reduction of calculation time and cost**.
- Improved **model reliability**.
- Industrial valorization of research work and **publications**.
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Education
- PhDUniversité Clermont Auvergne2018Doctorat
- Engineering DegreeInstitut Français de Mécanique Avancée (IFMA)2015Diplôme d'Ingénieur