Freelancer profile translated to English.
Back to original languageAbout Alexandre
👨💻 Alexandre Marce - Expert Cloud 🚀
Hello everyone! With 7 years of experience in Cloud, DevOps, and MLOps, I am an engineer passionate about technology and innovation.
🤝 Why work with me?
Engaged and autonomous, I am always ready to take on new challenges. My approach is centered on innovation and continuous improvement, with a constant focus on quality and customer satisfaction. Whether for a one-time project or long-term support, I am here to listen to understand your needs and respond to them effectively and personally.
🌟 What I offer:
- Deployment and management of ML/AI platforms: I led the deployment of the Dominodatalab platform at BNP Paribas, improving the efficiency of data science teams and ensuring reproducible research environments.
- Automation and CI/CD: I developed robust CI/CD pipelines, reducing deployment errors by 15% and increasing update frequency.
- Cloud Infrastructure: With expertise in AWS, IBM Kubernetes, and Terraform, I design scalable and secure solutions tailored to each client's specific needs.
- Cost Optimization (FinOps): I implemented cloud governance strategies that reduced resource utilization by 30%, generating significant savings.
🔧 Technical Skills:
- Docker, Kubernetes, Terraform, Ansible
- AWS, GCP, CI/CD with GitLab
- Monitoring with Kibana/Grafana
- LLM, prompt engineering
🎓 Certifications:
- AWS Developer Associate, Solution Architect Associate (until 2024)
- Certified Kubernetes Administrator (CKA) (until 2027)
📩 Contact me to discuss your projects and see how I can help you achieve your goals.
See you soon! 😊
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- BNP Paribas – IT GroupData/Cloud EngineerSeptember 2021 - Today (4 years and 9 months)Paris, France• As data engineer at BNP (8th banking institution in the world) I was part of the 12 people team deploying Dominodatalab (ML AI Ops Enterprise platform) at group level:• Developed and maintained a set of 10 Docker images tailored for a data science team, incorporating necessary tools and libraries, and implemented a robust CI/CD pipeline to automate the build, test, and deployment process, thereby enhancing team efficiency and ensuring consistent, reproducible research environments.• Deployed and managed 10 data science Domino Datalab Platform on IBM Kubernetes cloud and 1 on-premise GPU Grid (~150MiB GPU H100/A100) using Terraform, Helm ArgoCD and Kibana/Grafana for monitoring. Serving ~500 Users a day/150 nodes/ 5000 pods• Increased the frequency of new releases deployments from three times a year to twice a month. Following the provider release cycle.• Deployed CI/CD templating allowing to reduce our gitlab error by 15% in deployment, enforcing merge request pipeline and securing supply chain security for image• Setup scrum management system at team scale to allow continuous human processes improvement in a team of 8 people. Managed daily stand-ups and Sprint planning/closing along with the product manager• Deployed internal HuggingFace model registry using Argo Workflow to allow data scientists to access up to 30 LLM models internally to the bank• Took parts to DR regulatory exercises for BCE rating of the bank
- DataFabData/Cloud EngineerSeptember 2020 - March 2021 (6 months)Paris, France• As main cloud engineer in Datafab I was in charge of managing AWS Infrastructure• Designed and deployed a scalable web scraping system on AWS using Docker, ECS, and Terraform, with GitLab-CI for continuous integration and deployment, enabling efficient data extraction and enhancing the data-driven decision-making process. Gathering ~1000 resume a day• Leveraged AWS API Gateway and Athena to ingest and query ERP data, providing a streamlined data pipeline that enabled data scientists to directly access and analyze the data using Athena, thereby facilitating asset tracking• Implemented FinOps and governance strategies using CloudCustodian, successfully optimizing resource utilization and reducing overall cloud usage by 30%, resulting in significant cost savings and improved operational efficiency.• Internally to datafab:• Deployed SSO at company scale using oidc on AWS/wiki/Outlook/etc…• Wrote and deployed multiple kubernetes training at group scale for 20 peoples groups
- Sopra SteriaCloud EngineerSeptember 2019 - September 2020 (1 year)Paris, France• Integrated in Cloud Factory I worked on control tower deployment project in a team of 10 people and worked on day-to-day maintenance for website• Developed custom Terraform modules to automate the deployment of AWS Control Tower, streamlining the setup of multi-account AWS environments and enhancing governance, compliance, and operational efficiency.• Implemented infrastructure monitoring using Dynatrace, involving agent installation and alert configuration, to proactively identify and address system issues, thereby enhancing system reliability and performance.• Utilized Ansible to update and manage website changes, ensuring seamless deployments with zero downtime or impact to end users, thereby maintaining a consistent and high-quality user experience.
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Education
- Engineering Degree - Mechanical design, Industrial DesignUTBM - College of Engineer of Montbéliard2017Engineering Degree - Mechanical design, Industrial Design
- One year Bachelor studies - Industrial RoboticsCachan Institute of Technology2013Oneyear Bachelor studies - Industrial Robotics