Copyright © 2022 Aurele DALIBOT
Hi, my name is Aurele, I am a Machine Learning Engineer at the European Space Agency, passionate about new technologies, innovations and AI. I am currently looking for a job opportunity as machine learning engineer or as data scientist.
My name is Aurele, I come from Paris, I am a Machine Learning Engineer at the European Space Agency, in the CAVES & PANGAEA teams.
I have recently been graduated from the Imperial College London with the highest distinction for an MSc in Advanced Computing, where I have attended the following modules :
This master was part of a double degree with Centrale Nantes, where I will be graduated in April 2022. I am looking for an opportunity in which I could make the most of my computing and AI skills, as well as my deep interest for machine learning models development and new technologies.
Development of machine learning algorithms for recognition of planetary materials from multispectral datasets. The goal is to allow astronauts to automatically guess the rocks or minerals they discover on new planets, using spectrometers. Thus, I am developing algorithms for spectral unmixing of RAMAN or VNIR spectra. Implementing new modules for the current project. Working in collaboration with researchers on a paper to publish (Spectral Unmixing technology).
Development of a lipreading application using Pytorch and OpenCV for patients that have received a tracheostomy and cannot speak anymore. Developed word lipreading models and sentence lipreading models using a Transformer architecture. Developed an efficient liptracking pipeline for real-time predictions. Code available here.
Worked with the innovation team on a predictive maintenance platform. The idea was to monitor the servers responsible for the aerial surveillance and to predict a future outage of the servers, in order to reboot the system before it happens. Implemented deep learning algorithms for outage prediction, using CNN, LSTM and GRU networks and conducted tests on the existing platform. My contribution was to enhance the existing models, using fine-tuning methods and the implementation of a module for memory monitoring. I was able to predict memory leaks.
Developed application software to control an automatic robot Implemented a video tracking software with the OpenCV library to track the surgeon tools, in order to move the camera.
Copyright © 2022 Aurele DALIBOT