Daniel Sbeiti

I am an Applied Mathematics Engineer, graduating from Ecole Polytechnique and Princeton University.

I am passionate about Deep Learning, Language Models and Generative AI. I aim at implementing suited AI systems in industrial solutions to fluidify and transform the world we live in and the way we do things. I am also fond of quantitative finance and ambition to developing financial markets in line with the challenges of my future.

Last year, I contributed to creating a market of renewable energy coverage for Big Tech companies with EDF Lab in Singapore. I priced the contract by solving a stochastic non-linear optimization problem with storage control.

As of today, I am currently working on a smart and powerful search engine solution implementing state of the art software tools.

Don't hesitate to reach out for a chat !


Daniel Sbeiti

Research Projects

ScratchGPT ScratchGPT-10M

Complete Generative (P) Transformers model coded from scratch trained on 10M parameters




My friends' pages: Samuel Boïté, Bosco d'Aligny, Mathias Grau, Tess Breton