Denis Rothman

My core belief is that you only truly understand something when you can teach it. That principle shaped my early years studying at Sorbonne University and Paris Cité University, where I also assisted with teaching while developing my first ideas in natural language processing. During that period, I created and registered early patents in word tokenization, encoding systems, and conversational human‑machine interaction.

After those beginnings, I spent more than three decades deploying real‑world AI systems for global companies across aerospace, manufacturing, luxury, and logistics. This included cognitive NLP chatbots, enterprise optimization engines, and advanced planning and scheduling solutions used worldwide. From the start, I treated explainability as essential, integrating interpretable, acceptance‑based interfaces into industrial AI systems long before XAI became a formal field.

Sharing knowledge has always been central to my work. I write books that translate hands‑on AI experience into practical algorithms, frameworks, and architectures. I remain model‑ and platform‑agnostic, always showing multiple ways to solve a problem. As a full‑stack developer, I believe in teaching through code, so I publish complete programs on GitHub as proof-of-concept.