Raphaël Léo

Since January 2024, I have focused my consulting activity on Artificial Intelligence and workflow automation expertise, while maintaining my full-stack web development services.

- Deployment and integration of LLMs (Large Language Models) in production

- Development of custom RAG (Retrieval-Augmented Generation) systems

- Multi-agent orchestration with advanced frameworks (LangChain, LangGraph)

- Tracking, monitoring, and evaluation of AI agents with Langfuse and observability tools

- Automation of AI workflows to optimize business processes

- Implementation of vector databases and embedding systems

Python, LangChain, Claude API, RAG, ChromaDB

- Strategic consulting in AI and automation

- Development of SaaS solutions integrating AI

- Deployment of self-hosted LLMs

- Full-stack web development (React, Next.js, Node.js)

- Digital marketing and process optimization

Flagship Project:Development of PokerLab, a poker training platform using specialized LLMs to generate personalized curricula and offer AI-assisted coaching.

Specializing in supporting companies wishing to bring medical devices to market, SQI advises and trains companies to pass the necessary audits for CE and FDA marking, or to obtain various ISO standards required for market access.

In this context, I had to work with particular rigor and development models such as the V-cycle. I also had to pay particular attention to the writing of documentation, automated tests, and test plans.

-IDBioriv (idbioriv.com):Project to optimize blood sample analysis to improve septicemia detection time, in partnership with the ISA laboratory and HCL in Lyon.

-Corin Group (coringroup.com):Multiple pre- and post-operative applications for hip, knee, and shoulder. These applications aim to display DICOM (3D X-ray) in a 3D view to simulate and prepare surgery.

-RTFlow (rt-flow.com):Radiotherapy service scheduling management tool.

-Modjaw (modjaw.com):Dental care optimization tool.

Mission carried out within a service company, with successive interventions at different end clients. Work on projects with varied technical and business contexts, particularly in the banking, insurance, training, engineering, research, and medical sectors. Demanding environments involving strong constraints in terms of security, reliability, performance, and software quality, with a strong capacity for adaptation to teams, methods, and the specific challenges of each organization.