Research Engineer / Post-doctoral Research Fellow

Technology transfert of my Ph.D. thesis results.

Researcher & Expert Collaborator

Development and implementation of a deep-learning-based solution for rapid detection and diagnostic of Covid-19.

Ph.D Candidate

Building an integrated, component-based and distributed deep learning medical imagining segmentation platform:

• Development of R2D2, an end-to-end scalable deep learning toolkit for medical imaging segmentation.
• Building of Auto-CNNp, a component-based software framework to automate CNN parallelism.
• Proposing a guideline and recommendations in order to scale up CNNs training process for segmentation applications without accuracy loss.
• Conducting a thorough analysis of the generalizability of the CNN parallelism techniques to the imagining segmentation applications and identifying the sources of variability in deep learning training process

Graduate Teaching Assistant

I was teaching Linux, web development basics, algorithmics, c programming and providing end of study project tutoring.

Data Scientist Intern

Detailed achievements :

• Building a sentimental analysis system in order to detect and pull trends of a patient dedicated social network http://www.des-ailes-pour-votre-sante.com/
• Developing a text clustering application used in various tasks by the company’s marketing department.
• Developing an e-mail classification module (email, spam).

Tennis Refree

Level 1 ITF refree in a set of national and international tennis tournaments.

Software Engineer Intern

Design and development of a Windows Phone 8.1 application. The project was part of my 2013/2014 engineer summer internship at the National Institute of Applied Sciences and Technology (INSAT).