About

I'm a freelance ML engineer who strongly believes that accurately engineered data is the secret sauce to a successful AI project. Coming from 42 School, I'm skilled at conducting projects, working in team, adapting to new technologies, and explaining my work in a clear and pedagogical way. I also hold a bachelor's degree in business administration, which gives me a good understanding of a company's needs and challenges. After a six-month internship as a research engineer at PMU, where I built data pipelines for training state-of-the-art vision models, I realized both the significant time investment required for data engineering and the immense impact a well-structured dataset can have on a project's success.

Skills

• programming:

  Python

  Pytorch

  Pytorch Lightnings

  FastAPI

  sveltekit

  typescript

  C

  C++

• devops:

  GCP

  Docker

  Git

• databases:

  PostgreSQL

• languages:

  French

  English

• other:

  Features engineering

  Satistics

  Design principles

  Database modeling