Freelancer profile translated to English.
Back to original languageAbout Ménad
Machine Learning Engineer (MLE) / MLOPS specialized in packaging and deploying your ML / GenAI projects in production.
With varied experience in different business and technical contexts (Doctolib, Air Liquide's MLOPS platform, Bouygues Télécom, Club Med, RelevanC, Ministry of the Interior), I support your teams on 3 types of missions:
🚀 From Notebook to Production
Transform your PoCs into robust solutions deployed in production:
- Scoping and needs analysis with your teams
- Design of an architecture adapted to your constraints
- Packaging, containerization, CI/CD, and infrastructure as code
- Implementation of monitoring and performance tracking
🤖 GenAI / Agentic AI Development and Deployment
Create and deploy generative AI solutions adapted to your use cases:
- Design of GenAI pipelines (LLMs, RAG)
- Development and deployment of agentic systems
- Optimization of performance and inference costs
- Secure and scalable deployment
🔧 Fix a coded app vibe
Unlock your MVP and transform AI-generated spaghetti code into a maintainable and secure application.
Services offered:
- Comprehensive technical audit: Analysis of existing code, identification of security vulnerabilities and bottlenecks
- Code refactoring and cleanup: Architecture restructuring, elimination of technical debt, and improvement of maintainability
- Application security: Fixing security flaws, implementing best practices, and ensuring compliance with standards
- Performance optimization
- Documentation and handover: Clear technical documentation to enable your teams to resume development with confidence
📚 Support and Training
Support your teams in upskilling on MLOps and GenAI practices:
- Tailored training (theory + practice)
- Technical coaching on real projects
- Skill transfer and empowerment
French
Native or bilingual
English
Fluent
Spanish
Conversational
Can work on-site
Paris (up to 20km)
Experience
- DoctolibSenior Machine Learning EngineerSOFTWARE PUBLISHINGJune 2025 - Today (1 year and 2 months)Paris, France
Building the technical foundation for Doctolib's AI agents
Design, development, and deployment of the internal agent framework, enabling Data Science teams to develop and deploy AI agents in production.- Definition and implementation of the agent framework (Google ADK)
- Setup and configuration of MCP servers
- Design of the memory management and context engineering architecture
- Deployment of resources on Kubernetes cluster
- Implementation of the LLMOps stack and monitoring
- Configuration management and industrialization
- Creation of a "ready-to-use" template for all Data Science teams
- Support for DS teams in migrating from LangChain to Google ADK
- CelioSenior Machine Learning EngineerRETAIL (LARGE RETAILERS)May 2025 - June 2025 (1 month)Paris, FranceIndustrialization of a data science project for marketing campaign targeting- Orchestration of the complete ML lifecycle: code packaging and optimization → production deployment on GCP- Design of scalable ML infrastructure and end-to-end MLOps workflows- Collaboration and upskilling of data scientists
- YampaSenior ML EngineerSOFTWARE PUBLISHINGNovember 2024 - March 2025 (4 months)Paris, FranceDevelopment of an AI agent platform for customer care- First technical developer alongside the co-founders- Design and implementation of the full-stack technical foundation with LLM integration for AI agents- Validation of an initial strategic client and deployment of several clients in production- Multiple integrations with various tools for AI agents
Reviews
Recommendations
These freelancer profiles also match your criteria
Agatha Frydrych
Backend Java Software Engineer
4.7
(3)
2
Baptiste Duhen
Fullstack developer
4.6
(4)
5
Amed Hamou
Senior Lead Developer
4
(2)
7
Audrey Champion
Web developer
4.3
(3)
4
Education
- Engineering Degree, ScientificECE Paris2019Diplôme d'ingénieur, Scientifique
- Computer Science and ElectronicsDublin City University2016Computer Science and Electronics
Certifications
- AWS Solution ArchitectAWS2021
- Google Cloud Professional Data EngineerGoogle2022