CV

I am a PhD student at Orange Labs and INSA Lyon. You find my CV here

Work experience

Nov 2019 - Now AI researcher: industry-academia thesis
- Orange & INSA Lyon
- Studying machine learning-based anomaly detection, applied to network monitoring
- Publishing papers at international conferences
- Submitting two patents to INPI
- Reviewing conference papers
- Communicating research results
Feb 2018 - Aug 2019 AI research intern
- Orange Innovation Meylan & Ensimag
- Conducting research on IoT device fingerprinting using machine learning
- Publishing a paper at an international IEEE conference
- supervised by Samuel BERLEMONT (Orange Labs) and Martin Heusse (Ensimag).
Jun 2018 - Aug 2018 Internship in mobile application development
- LSI technologies

2019-2022 PhD degree in computer science from INSA Lyon university
- CIFRE with Orange Innovation Meylan.
- Title : robust unsupervised anomaly detection, applied to network traffic monitoring
- Topics : unsupervised anomaly detection, transformers, autoencoders, variational autoencoders, extreme value theory, robust training, data processing
- Supervised by Christophe GARCIA (LIRIS), Stefan DUFFNER (LIRIS), Grégoire LEFEBVRE (Orange Labs), and Samuel BERLEMONT (Orange Labs).
2018-2019 Master’s Degree in Computer Science at Ensimag
- Master of science in informatics at Grenoble : data science
- Topics : data management, distributed systems, machine learning, data mining, probability, computer vision, convex and distributed optimization.
2017-2019 Engineer’s degree : embedded systems and connected objects
- ENSIMAG: École Nationale Supérieure d’Informatique et de Mathématiques Appliquées Grenoble
- Topics : IP networks, VoIP, security, object-oriented programming, signal processing.
2016-2017 Bachelor’s degree in Physics, Electronics and Telecom
- PHELMA: école nationale supérieure de PHysique, ELectronique, MAtériaux, Grenoble INP.
2014-2016 Preparatory classes for the grandes écoles (CPGE: Classes Préparatoires aux Grandes Ecoles)
- IPEST: Institut Préparatoire aux Etudes Scientifiques et Techniques, La Marsa, Tunsie.

Theoretical: Anomaly detection, Data mining and pattern recognition, Machine learning, Time-series analysis.
Programming: Python, C, Java, R, Javascript, ELK (Elasticsearch, Logstash, Kibana), Git.
Machine Learning and Data Processing: Pytorch, Tensorflow, PySpark, Kafka, Tune.