Internal workshop — Memory in LLM agents (2026)
A two-session internal training for a Data Engineering / Data Science team on how memory is managed in LLM agents, from cognitive-science foundations (CoALA, MemGPT, Generative Agents) to concrete implementation with LangGraph and DeepAgents.
- Session 1 — Theory: slides (FR) · slides (EN)
- Session 2 — Practice: slides (FR) · slides (EN)
- Hands-on notebook: agent_memory_langgraph_deepagents.ipynb (FR) · English version
- Nestlé-internal variant (NesGen instead of a direct Anthropic key): docs/code/nestle-nesgen/
Université Dauphine (2023-2025)
I taught statistics at Université Paris Dauphine, in the Master Executive – Statistiques & Big data (EMSBD). Material available here.
AgroParisTech (2022-2023)
My classes as a Senior Lecturer (Maître de conférence) at AgroParisTech:
Université Mohamed VI, Morocco (2022-2023)
My classes as a Senior Lecturer (Maître de conférence) at Université Mohamed VI:
I have several experiences as teaching assistant :
Ecole Polytechnique (2019-2022)
- Probability refresher (Master Level, for the X-HEC Data science for Business Master of Science)
- Statistics (Master Level, for the X-HEC Data science for Business Master of Science)
- Bachelor Thesis tutor