LR Technologies

2024 - Now

Research and Development Engineer

• Member of the R&D team on the Knowledge Management (KM) project to build a KM system to efficiently identify, store and retrieved consultants' knowledge to improve company's productivity and innovation.

ANITI – Université Fédérale Toulouse Midi-Pyrénées / ENAC / NXP-Semiconductors

2020 - 2023

Doctorat: Radar Interference Mitigation with V2X and AI

• Developed a Python-based traffic simulator equipped with radar-fitted vehicles and V2X communication means to minimize radar interference.
• Designed a metaheuristic (JAVA) to determine the optimal bandwidth allocation for a given scenario.
• Implemented Graph Neural Networks for radar line-of-sight prediction.
• Implemented a Reinforcement Learning framework into the simulator.
• Authored 4 research papers, three of which were presented at conferences (IEEE VTC-2023, IEEE ITSC 2021) and the ITS World Congress.
• Filed 3 patents (2 accepted; 1 pending).

NXP-Semiconductors

2020

Final internship VALDOM (6 months): Radar Interference Mitigation with V2X and AI

• Implementation and analysis of basic strategies used in interference mitigation.
• Development and analysis of new artificial intelligence strategies.

Sopra Steria - Grenoble Agency

2019

Final internship INP (6 months): Project LeMON: AMS for EDF infrastructure surveillance applications. (Angular - Agile Methodology - 15-member Team)

• Development of POC for the geolocation and visualization of sensors and their temporal data.
• Presentation of results to the client as part of pre-sales activities.
• Bug fixing, feature development, version control management within the AMS contract.

INSERM / Institut Mathématique de Toulouse (IMT) - Toulouse

2016

6-week internship: Development in Python of an image registration algorithm for cardiovascular anomaly detection.

Université UT3 - PhD in artificial intelligence ANITI / ENAC / NXP-Semiconductors

2023

Subject: Radar Interference Mitigation with V2X and AI
Thesis supervisors: Daniel Delahaye ; Pierre Maréchal
Laboratory: ENAC

INSA-ENSEEIHT - Specialized Master VALDOM - Valorisation des données massives

2020

Specialized Master's degree in the field of Big Data and Data Science.

• Machine Learning, Deep Learning, and optimization techniques
• Virtualization technologies and Cloud Computing
• Batch and stream data processing

PHELMA-ENSIMAG - Master degree INP Grenoble

2019

Majors:

• Physics Electronics Telecommunications (PET)
• Embedded Systems and Connected Objects (SEOC)

• Royal Institute of Technology (KTH) - Sweden
(Machine Learning; Neural Networks; Data Mining)