Olivier Mesnard
Software Engineer at Capital One
Washington, District of Columbia, United States
Summary
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Rockstar🎓
Top SchoolOlivier Mesnard is a software engineer at Capital One with 12 years of experience bridging high-performance scientific computing and cloud-native software engineering. Trained in mechanical and aerospace engineering in France and the U.S., he brings deep expertise in CFD, numerical methods, GPU/HPC and reproducible scientific tooling such as Git, Docker/Singularity and Azure/AWS. He contributes to open educational projects—improving aerodynamics notebooks and adding numerical-method solutions—demonstrating a knack for making complex computational workflows clearer and reproducible. At GWU he worked with Lorena Barba’s group, blending academic rigor with practical software practices that scale to enterprise systems. Colleagues can expect a developer comfortable across low-level numerical implementations and modern cloud stacks who prioritizes reproducibility and collaborative open-source impact.
12 years of coding experience
Ingenieur, Modelisation en Ingenierie Mecanique, Ingenieur, Modelisation en Ingenierie Mecanique at Institut supérieur de mécanique de ParisThe George Washington UniversityMaster of Engineering (MEng), Ingénierie mécanique, Master of Engineering (MEng), Ingénierie mécanique at Université Pierre et Marie Curie (Paris VI)Boston University
French, English
Github Skills (7)
differential-equations10
physics10
numerical-methods10
python10
modeling10
aerodynamics9
jupyter-notebook9
Programming languages (8)
Github contributions (5)
barbagroup/AeroPython
Jan 2014 - May 2019
Classical Aerodynamics of potential flow using Python and Jupyter Notebooks
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:2 releases, 175 commits, 9 PRs in 5 years 4 months
Contributions summary:Olivier corrected indentation bugs in the code. They also created new notebooks that re-organized the lesson numbers.
pythonaerodynamicsjupyter-notebookpotential-flownotebooks
numerical-mooc/numerical-mooc
Aug 2014 - Dec 2019
A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.
Role in this project:Back-end Developer
Back-end DeveloperContributions:78 commits, 3 PRs, 4 pushes in 5 years 5 months
Contributions summary:Olivier contributed to the numerical-mooc repository by adding their solutions to lessons related to the phugoid model. These solutions involved implementing code for calculating altitude and velocity of the rocket as well as a function to create the right hand-side of the phugoid system of equations, indicating work related to the back-end logic of the model. The code changes primarily involved applying Euler's method to approximate the numerical solution, indicating involvement with the core numerical and physics-based components of the project. The addition of code partially filled, indicating the user may be a beginner.
scientistspythonode-solverpde-solverpartial-differential-equations
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