About me
I am a machine learning and software engineer based in Paris. I am interested in all topics around data, machine learning, software development and computer science in general.
Latest news
- Started contributing to NannyML. NannyML is an open-source python library that allows you to estimate post-deployment model performance (without access to targets), detect data drift, and intelligently link data drift alerts back to changes in model performance.
- Joined Jellysmack as a lead data scientist.
- Won Criteo's Privacy-preserving AI Challenge.
- Presented a NLP introduction course for the ESSEC business school.