Jean-Philippe R.

I am Jean Philippe Rosse, a Workplace Engineer with over 32 years of experience in IT services. My expertise has been built at the intersection of operational management (RUN), data analysis, and continuous improvement of IT environments, with a strong specialization in observability and digital user experience. For the past 8 years, I have been leading high-value missions combining strategic and operational analyses, focused on leveraging IT data and advanced monitoring. I engage from the analysis of business needs to design adapted solutions, anticipate incidents, automate remediation, and provide clear and relevant dashboards, facilitating decision-making and improving user satisfaction. In this context, I have implemented advanced approaches for multi-source data analysis and correlation, anomaly detection, and anticipation of performance degradations, relying on solutions such as Splunk and Nexthink to sustainably optimize IT system performance and reliability.

Passionate about AI, I have trained in advanced prompt engineering techniques, the use of no-code/low-code tools (Airtable, n8n, Make) for creating and automating workflows, and integrating AI APIs. I am also familiarizing myself with the creation of AI agents (AutoGen, LangChain, CrewAI), the basics of machine learning and deep learning through Python, and essential concepts of modern AI (LLM, RAG, agentic architectures). Thanks to my data skills, I know how to prepare, structure, and validate data, an essential prerequisite for effectively experimenting and prototyping AI solutions.