Nicolas Aillaud

• - R&D for AI protection (applied mathematics, Numpy, Scipy)

• - R&D integration (C, PyTorch)

• - Test implementation ( C, python )

• - Productization (Docker, Github jobs, cython)

My work was about fitting models on user data to improve or design regulation for the Comap Smart Home products. It involved :

• - Studying previous work

• - Review of scientific litterature

• - Implementing a data pipeline (Pandas, Numpy, Scipy, Scikit-learn)

• - Testing and evaluating models

• - Review data to identify and solve problems

• - Try implementing innovative regulation techniques on devices ( C )

Bug correction in C/C++ in a challenging defense environnement. It involved both coding and testing the product. Technical stack : Bash, C/C++