Benoit Boidin

I am Benoît, a young Frenchman passionate about AI and training machine learning models! This site showcases my background and professional experiences.
Let’s work together on Malt.

Experiences

• Detection Neural Network (6 months): My final-year internship involved creating an artificial intelligence model for real-time ship recognition.
• New Type of Search Engine (2 years): During my Master’s, I was the first student hired to collaborate with CNRS - LaBRI (Bordeaux Computer Science Research Laboratory), where I worked on creating a search engine using NLP and data extraction techniques.
• Breast Cancer Detection (2 months): This voluntary internship focused on analyzing a framework for breast cancer detection through DNA and seeking improvements.

📄 Recommendations from my former supervisors and colleagues: letter by Hugo Gimbert (research professor at CNRS) and letter by Fabien Rhodes (operations director at MaxSea).

Academic Background

• Master’s in Computer Science: My Master’s program provided the foundations of software engineering, with a strong focus on machine learning techniques. I also gained exposure to data processing, particularly for images and sound.
• Language study at University California San Diego to improve my English proficiency.
• Bachelor’s in Applied Statistics: During my Bachelor’s, I learned advanced statistics and cognitive sciences, which taught me the rigor of scientific experimentation.

📄 To download my CV, click on the French version or the English version.

Miscellaneous

Connect with me on LinkedIn or GitHub!

Check out some posts I’ve published on LinkedIn.

Here’s a representation of a dataset as a similarity map (embedding calculations, clustering, PCA):