Building GenAI
Systems

I engineer AI systems that solve real business problems. Enterprise-ready, scalable, and built to last.

Who I Am

Stephane Wamba

I'm Stephane WAMBA, an AI engineer based in Paris with 3 years of experience building LLM systems. I design RAG architectures, autonomous agents, production MLOps pipelines, and full-stack AI products that solve concrete business problems.

I specialize in conversational AI, document intelligence, and AI integration. Each system I build is designed for real-world deployment from day one: proper error handling, monitoring, security, and performance. I focus on business outcomes: systems that deliver measurable value and handle actual workloads.

I work end-to-end on every project: from understanding business requirements and framing the problem, through architecture and development, to deployment, monitoring, and ongoing maintenance. This full-cycle approach ensures systems are built right from the start and continue to perform reliably in live environments.

My approach combines hands-on development with continuous learning. I share my process through my Blog, documenting real challenges and solutions. This keeps me current with best practices while contributing to the community.

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Experience

Freelance AI & Fullstack Engineer

Independent

June 2024 - Present

Independent, mainly asynchronous engagements covering the full product lifecycle, from architecture and implementation to cloud deployment. Delivered Lomdie, a premium matchmaking platform with its operational back office, and Manssúetude, a content and community platform with a member area and complete administration tools. I also deliver AI agents, RAG pipelines, automations, and web applications directly with founders and product teams.

AI Engineer

QuRISK

September 2024 - July 2026

Designed and industrialized the AI tools used by QuRISK consultants and delivered to clients. Built oQo, a multi-agent assistant that queries PQC and NIST corpora to assess quantum exposure and generate compliance reports, an autonomous consultant mission-search agent, and a hybrid RAG infrastructure with adaptive chunking, semantic reranking, continuous evaluation, and production monitoring. The stack combined Python, FastAPI, Next.js, React, PostgreSQL, Docker, GitHub Actions, and AWS.

What I Build

Deployed Systems

AI systems engineered for real-world deployment, not prototypes. Built with proper error handling, monitoring, and reliability.

Non-Functional Requirements

Systems designed with performance, scalability, security, and maintainability in mind from day one. Enterprise-ready infrastructure that handles growth.

Knowledge Sharing

Documenting the process through my Blog. Sharing real challenges, solutions, and best practices with the community.

End-to-End Delivery

Full project lifecycle from business requirements to deployment and monitoring. Clear communication and documentation throughout.

How I Work

End-to-end project delivery, from business framing to deployment and monitoring

Enterprise-ready from day one: proper architecture, error handling, and observability

Business-focused solutions that deliver measurable value and real outcomes

Full lifecycle ownership: requirements, development, deployment, and maintenance

Systems designed with non-functional requirements in mind: performance, scalability, security, and maintainability

Clear communication and documentation throughout the process

Ready to Build Your AI System?

Let's discuss your project and how I can help turn your vision into scalable, deployed software.

Get in Touch