Senior AI Engineer building production-grade ML systems and agentic AI solutions. From model deployment to autonomous agents, I turn experiments into scalable products.
Powering systems with
Ménad Bétouche
Senior AI Engineer
Building scalable intelligence.
I build end-to-end AI solutions — from ML model deployment to agentic systems.
With 6+ years of experience in production AI, I create intelligent systems that scale — whether it's ML pipelines, LLM applications, or autonomous agents.
6+
Years Exp
1O+
Projects in production
7+
Figures in ROI
Tech Stack
Get in Touch
Fill out the form below. I'll get back to you within 24 hours.
My Services
Technical expertise ranging from architectural design to hands-on deployment in production environments.
Notebooks to production
Make your Jupyter notebooks into robust, versioned, and scalable production code. I handle the industrialization of your ML models so they don't break in the real world.
Build GenAI / Agentic AI
Building bespoke Agentic Systems and CICD pipelines. I design AI solutions that can reason, use tools, and interact seamlessly with your proprietary data.
Automate with AI
Streamlining business operations by integrating AI decision points into automated workflows. Reduce manual toil with intelligent loops connecting your favorite SaaS tools.
Proven Track Record
Delivering impactful AI solutions across diverse industries. Here's what colleagues and clients have to say about working with me.
“I had the pleasure of working with Ménad at Doctolib within the ML Platform team. He brought strong technical expertise in designing ML and agentic backends, and significantly contributed to defining the standards and abstractions that allowed us to reliably deliver and scale AI agents across the company. He also has solid experience in building and designing robust, maintainable software systems that integrate ML. Beyond his technical skills, Ménad is rigorous, hardworking, and consistently effective in demanding environments.”
Engineering Intelligent Systems
at Scale.
From raw data ingestion to production-grade deployments. A timeline of building robust MLOps infrastructure and high-impact machine learning models.
Senior Machine Learning Engineer
Doctolib
Building the technical foundation for Doctolib's AI agents. Developed a standardized agentic framework (Google ADK), complete infrastructure with MCP servers, memory/context management, Kubernetes deployment, and LLMOps monitoring stack.
Senior Machine Learning Engineer
celio
Industrialized a data science project for marketing campaign targeting. Orchestrated the complete ML lifecycle: code packaging and optimization to production deployment on GCP. Designed scalable ML infrastructure and end-to-end MLOps workflows.
Senior Machine Learning Engineer
Yampa
First technical developer with co-founders. Designed and implemented fullstack AI agent platform for customer care with LLM integration. Validated initial strategic client and deployed multiple clients in production.