Senior Back-End Developer

• Nov 2023 - Present

Senior Python Developer / Software Engineer / Tech lead

• Oct 2022 - Jan 2023

Helping the team with all technical aspects related to the Raisin App and website. (More description to come...) Helping the team with all technical aspects related to the Raisin App and website. (More description to come...)

Software Engineer

• Mar 2017 - Oct 2022

# AIRBUS - ISSY-LES-MOULINEAUX, 2022 (APRIL) - Now Current Mission: working on Stress fatigue simulators for next-generation aircraft. Python, C++, Linux, Qt, CI/CD, Docker # CNES - ISSY-LES-MOULINEAUX, 2021 (SEPT - JAN) - 5 MONTHS Industrialization of research software. Added an HMI for the pre-sizing module of several rocket stages designs. Technical Env: HPC, Linux, Python3, PyQt, Pandas, Numpy, Multithreading # RTE - LA DEFENSE, 2019 (JUN - JUN) - 12… Show more # AIRBUS - ISSY-LES-MOULINEAUX, 2022 (APRIL) - Now Current Mission: working on Stress fatigue simulators for next-generation aircraft. Python, C++, Linux, Qt, CI/CD, Docker # CNES - ISSY-LES-MOULINEAUX, 2021 (SEPT - JAN) - 5 MONTHS Industrialization of research software. Added an HMI for the pre-sizing module of several rocket stages designs. Technical Env: HPC, Linux, Python3, PyQt, Pandas, Numpy, Multithreading # RTE - LA DEFENSE, 2019 (JUN - JUN) - 12 MONTHS Implementation of an HPC launcher for Antares Simulator, using TDD method. Implementation of a DevOps system to link the HPC world and the RTE intranet. Created a plugin that allows abstracting the HPC environment, giving easy access to business/technical users. Technical Env: HPC, Linux Fedora, Python3, Github Actions, Yaml, Paramiko # RTE - LA DEFENSE, 2019 (JAN - JUN) - 6 MONTHS Software Engineer (Team of ~20 people) Participation in an academic challenge: “Learning to run a power network” L2RPN at RTE’s R&D in partnership with INRIA and Chalearn. Responsible for implementing an Expert System that provides heuristics to help artificial agents (Reinforcement Learning agents) in their explorations of the different possibilities to “optimize” an electrical network Technical Env: HPC, Linux Fedora, Python3+, NetworkX, Pypownet, Numpy, Pandas # Alstom - SAINT-OUEN 2017 (JUN) - 18 MONTHS - System Simulation. Creation of an IHM to control and supervise a metro line. Python, HMI, C++ The mission was to develop and deliver a Tier 1 ATS (Automatic Train Supervision) system for a specific client, intended to be a backup ATS for the main one (2 permanent users). From an existing internal "light" ATS I took over existing software content and built upon it a newer version with a new graphical interface (QT). - Innovation on the fly. Added real-time editing/saving/loading. - Tests on real equipment with about ten users for several weeks. - Delivery - Debug / Correction. - Agile software development. Show less # AIRBUS - ISSY-LES-MOULINEAUX, 2022 (APRIL) - Now Current Mission: working on Stress fatigue simulators for next-generation aircraft. Python, C++, Linux, Qt, CI/CD, Docker # CNES - ISSY-LES-MOULINEAUX, 2021 (SEPT - JAN) - 5 MONTHS Industrialization of research software. Added an HMI for the pre-sizing module of several rocket stages designs. Technical Env: HPC, Linux, Python3, PyQt, Pandas, Numpy, Multithreading # RTE - LA DEFENSE, 2019 (JUN - JUN) - 12… Show more # AIRBUS - ISSY-LES-MOULINEAUX, 2022 (APRIL) - Now Current Mission: working on Stress fatigue simulators for next-generation aircraft. Python, C++, Linux, Qt, CI/CD, Docker # CNES - ISSY-LES-MOULINEAUX, 2021 (SEPT - JAN) - 5 MONTHS Industrialization of research software. Added an HMI for the pre-sizing module of several rocket stages designs. Technical Env: HPC, Linux, Python3, PyQt, Pandas, Numpy, Multithreading # RTE - LA DEFENSE, 2019 (JUN - JUN) - 12 MONTHS Implementation of an HPC launcher for Antares Simulator, using TDD method. Implementation of a DevOps system to link the HPC world and the RTE intranet. Created a plugin that allows abstracting the HPC environment, giving easy access to business/technical users. Technical Env: HPC, Linux Fedora, Python3, Github Actions, Yaml, Paramiko # RTE - LA DEFENSE, 2019 (JAN - JUN) - 6 MONTHS Software Engineer (Team of ~20 people) Participation in an academic challenge: “Learning to run a power network” L2RPN at RTE’s R&D in partnership with INRIA and Chalearn. Responsible for implementing an Expert System that provides heuristics to help artificial agents (Reinforcement Learning agents) in their explorations of the different possibilities to “optimize” an electrical network Technical Env: HPC, Linux Fedora, Python3+, NetworkX, Pypownet, Numpy, Pandas # Alstom - SAINT-OUEN 2017 (JUN) - 18 MONTHS - System Simulation. Creation of an IHM to control and supervise a metro line. Python, HMI, C++ The mission was to develop and deliver a Tier 1 ATS (Automatic Train Supervision) system for a specific client, intended to be a backup ATS for the main one (2 permanent users). From an existing internal "light" ATS I took over existing software content and built upon it a newer version with a new graphical interface (QT). - Innovation on the fly. Added real-time editing/saving/loading. - Tests on real equipment with about ten users for several weeks. - Delivery - Debug / Correction. - Agile software development. Show less

Internship

• Apr 2015 - Sep 2015

HPC application integration design and Performance Optimization on the supercomputer Pangea (rank 11 in the world, 06/2016, 220 900 cores). The job was to review and to understand how TOTEM interfaces with HPC applications to manage the jobs running on Pangea and to improve this integration in the scope of stability, usability, portability and performance. HPC application integration design and Performance Optimization on the supercomputer Pangea (rank 11 in the world, 06/2016, 220 900 cores). The job was to review and to understand how TOTEM interfaces with HPC applications to manage the jobs running on Pangea and to improve this integration in the scope of stability, usability, portability and performance.

Internship

• Jun 2014 - Aug 2014

Auto-tuning of an intern framework - MPC (MultiProcessor Computing). How to auto-tune a software that has ~10^300 input possibilities? I researched 4 different metaheuristics based on: ant systems, evolutionary algorithms, artificial neural networks and simulated annealing. The final implementation used : evolutionary algorithm with C, Python languages. Auto-tuning of an intern framework - MPC (MultiProcessor Computing). How to auto-tune a software that has ~10^300 input possibilities? I researched 4 different metaheuristics based on: ant systems, evolutionary algorithms, artificial neural networks and simulated annealing. The final implementation used : evolutionary algorithm with C, Python languages.

Internship

• Jul 2013 - Sep 2013

Creation and implementation of a Management tool for stock exchanges. Worked in Model–view–controller (MVC) environment using C# with a strong introduction to SQL. Creation and implementation of a Management tool for stock exchanges. Worked in Model–view–controller (MVC) environment using C# with a strong introduction to SQL.