Christophe Delapierre

After university studies in theoretical physics in Grenoble, San Diego, and Paris, I chose artistic creation as a freelance photographer. I then taught mathematics, physics, chemistry, and digital subjects for nearly 10 years to middle schoolers, high schoolers, and undergraduate and BTS students. In 2022, I decided to retrain in computer development.

I validated my level 3 (Bac+3) application developer title in one year. I acquired skills in Spring Boot and React frameworks. I was able to deepen scientific computing in JAVA, particularly with the JDSP and JWAVE (wavelet transforms) libraries. I developed spectrum smoothing algorithms and user interfaces in Swing.

The CEA offered me the opportunity to continue my training by proposing a second apprenticeship in the field of artificial intelligence. I implemented a radar data processing pipeline with deep learning models in Python. The algorithm was capable of extracting sub-parts of radar data and applying classification to this data.

I completed my master's degree at OpenClassrooms while working at the CEA. This allowed me to develop my skills in machine learning, deep learning, and data engineering (MLOPS). I was able to develop a proof of concept on the FFT implemented with convolutional neural networks. The FFT was made learnable, and I achieved an improvement in metrics.

I am currently heading a micro-enterprise, developing autonomous LLM servers for companies. This solution guarantees data confidentiality and independence from the cloud. An online demo is available upon request.