Freelancer profile translated to English.
Back to original languageAbout Cyril
Hello,
With a background in computer engineering (UTC data mining degree), I have 8 years of experience as a Machine Learning Engineer. I am versatile and can adapt to any back-end and front-end stack, but my expertise is in data and generative AI. My CV, portfolio, and recommendations are on my website.
I can help you with:
- Architecture, creation, and improvement of data systems: AI & big data pipelines, cloud deployment, monitoring
- Development of MLOps culture, principles, and tools within your teams
- Improvement of your AI models (inference response time and accuracy), scaling to handle larger data volumes
- Building or improving the monitoring of your production models, shadowing pipelines, feedback loops
- Working at the intersection of data scientists, data engineers, and DevOps
- Reducing your infrastructure costs
Depending on your needs, I can intervene:
- In a very short time (1-2 days) to help you troubleshoot a difficult technical issue
- Occasionally for setting up data systems in your company, for expertise missions, or for training missions
- For long-term support, to assist you with maintenance and continuous improvement, while allowing you to maintain control over your systems
- Primarily remotely, occasionally on-site
CV and recommendations are available upon request. Feel free to contact me to learn more and discuss your projects, or find me at:
French
Native or bilingual
English
Native or bilingual
Portuguese
Fluent
Can work on-site
Marseille (up to 30km)
Experience
- AlbertAPILLMOps EngineerTECHNovember 2024 - Today (1 year and 8 months)Marseille, France- Design and development of Albert API, a sovereign generative AI solution for French administrations: Signal Conso, Météo France, Universities, and many other entities (300k daily requests)- Self-hosted deployment of dozens of LLMs (LLama4, Mistral, Gemma...)- Development of an API gateway- Provide advanced features: RAG, agentic workflows, MCP, web search, OCR, deep search...- Load test LLMs under various GPU configurations and provide dashboards (TTFT, E2E latency, token throughput...)- Secured all the infrastructure (VPN, bastion, user policies, security groups...), obtained ANSSI certification- Develop a tool for calculating GPU requirements given a number of daily users and an LLM- Migrate the stack to Kubernetes
- ManoManoMLOps EngineerE-COMMERCESeptember 2021 - July 2022 (10 months)- Design a machine learning platform on AWS to be used by 5 data teams- Choose, present and evangelize cloud architecture choices- Compare various solutions with POCs (Metaflow, Kubeflow, Sagemaker)- Improve collaboration with architects, data engineers and data scientists
- Crédit Agricole SAMachine Learning EngineerBANKING AND INSURANCEMarch 2021 - September 2021 (6 months)- Deploy NLP AI models on Kubernetes- Develop and sell AI API products to internal entities- Develop an internal AI platform hosting 20+ machine learning microservices- Evangelize MLOps tools and philosophy- CI/CD of OCR products- POC Kubeflow/Sagemaker pipelines- Realize and present a study about Green AI- Speed up labelling processes with cluster-based pre-labelling
Reviews
J
Jules
Albert
Reviewed on 10/9/2025
Cyril is an excellent professional: reliable, rigorous, and very autonomous.
Initially recruited to my team to work on securing Albert API - on which he played a key role - Cyril far exceeded my expectations.
He actively contributed to several strategic projects: load testing, infrastructure cost optimization, and AI model inference improvement, to name a few.
A true Swiss army knife, Cyril delivers with ease on various topics: data science, DevSecOps, backend development, and the highly sought-after LLMOps expertise.
He combines technical excellence, team spirit, and strong initiative - a rare profile who is very pleasant to work with and whom I recommend without hesitation.
Samuel
Air Liquide IT - GIO Département GDO
Reviewed on 4/10/2021
Cyril was of great help in the realization of our data API project. He set up the entire technical stack in IaC, from development to production, including implementation from the functional specification and the data feeding pipeline with business transformations. Today, it is already used by several applications. Cyril is determined and efficient in his work and knows how to communicate. He is a real asset to any team. I recommend him and hope to work with him again.
Recommendations
+3
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Education
- Engineering degree - Computer Engineering - Data Science specializationUniversité Technologique de Compiègne (UTC)2019En plus des cours traitant des concepts basiques de programmation (Structures de données, OOP, bases de données, software design...), les cours notables que j'ai suivi sont les suivants : - Apprentissage automatique (machine learning) - Conception de data warehouse - Calculs distribués - Recherche opérationnelle et optimisation combinatoire - Statistiques et probabilités - Maitrise des systèmes informatiques (programmation bas niveau)
Certifications
- Machine Learning with Big DataUniversity of California San Diego2020
- Google Cloud Platform for AWS ProfessionalsGoogle Cloud2020