Work Experience

Postdoctoral Position

2026 - 2028 - TotalEnergies - Pau - France

• Analysis and Development of Large Language Models (LLMs) and Model Context Protocol (MCP) tailored for specific scientific computing tasks.

Teaching Experience

2022-2025 - Université de Pau et des Pays de l’Adour - Pau - France

• Taught courses in scientific computing, numerical integration methods, and Python programming.

Research Engineer

2021-2022 - Inria Bordeaux - Pau - France

• Developed a solver for acoustic wave equations using the Spectral Element Method (SEM) in C++ on the GEOS platform.

• Contributed to the development of a Full Waveform Inversion (FWI) code in Python and C++.

SAS Programmer apprentice

2020 - Veristat - Montréal - Canada

• Data handling and SAS programming applied to clinical trials.

• Reviewed statistical analysis plans.

Language Immersion Abroad

2017-2020 - Australia, New-Zealand, Thailand, Laos, Cambodia, Vietnam, Canada

• Between 2017 and 2020, I traveled to several countries including Australia, New Zealand, various parts of Asia, and Canada. During this time, I significantly improved my English skills. I worked primarily in the hospitality and restaurant industry, which gave me the opportunity to gain valuable professional experience in fast-paced, multicultural environments. These experiences helped me develop strong communication skills, adaptability, and a solid understanding of customer service in international settings.

Master’s internship

2017 - Institut de Recherche en Astrophysique et Planétologie - Toulouse - France

• Signal processing for gamma-ray burst detection within complex datasets.

Technical Skills

• C++ / Python / Fortran / SAS

• HPC, MPI

• Numerical Analysis

• Optimization, Inverse Problem

• Reduced Order Modelling (ROM)

• Finite Element Method (FEM)

• Wave Equations

• Deep learning