Guillaume Pitel is the founder of eXenSa, and the creator of the algorithm at the core of eXenGine. He is a Computer Scientist (from the EPITA school) with a passion for performance (parallelism and GPGPU), he has a PhD (from Paris XI University) in Computer Science / Computational Linguistics, and an executive MBA from Epitech.
He works on all fields related to eXenGine :
- Machine Learning problems for NCISC, the core algorithm (currently working on an online version leveraging eXenSa new Count-Min sketch) with both the embedding computation and information injection
- Fast clustering for approximate nearest neighbours
- Fast Approximate nearest neighbours search
- Data modelling for multi-faces datasets
- Text decomposition (approximate string search)
- Multi-model compression (combine several models into one)
- General Text-mining question
- Recommender systems