About Mohamed
My name is Mohamed Essadki. I am a software engineer and applied mathematician with an engineering degree from École Centrale Paris and a Ph.D. in Applied Mathematics and High-Performance Computing.
Over the past 8 years, I have worked in France and the Netherlands on advanced scientific software and simulation technologies. My experience spans industrial R&D and software engineering at leading technology companies, where I have developed high-performance numerical algorithms, simulation software, and large-scale C++ applications.
My core technical expertise includes:
Programming languages: Modern C++, Python, and MATLAB
High-performance computing: OpenMP, MPI, CUDA, and performance optimization
Scientific computing: Numerical modeling, simulation, and computational physics
Mathematical optimization and numerical methods
Software engineering: Designing, developing, profiling, and optimizing large-scale scientific software
Throughout my career, I have contributed to projects in computational fluid dynamics, semiconductor process simulation, metrology, and code generation for scientific computing, combining strong mathematical foundations with practical software engineering to solve complex real-world problems.
Arabic
Native or bilingual
French
Native or bilingual
English
Native or bilingual
Can work on-site
Paris (up to 30km)
Experience
- The MathWorksSenior Software EngineerMarch 2023 - Today (3 years and 4 months)Working with the middle end Intermediate Representation team at The Mathworks and I have been building and improving optimizations and analysesfor Code Generation
- GOOGLEPostdoctoral ResearcherRESEARCHOctober 2021 - March 2023 (1 year and 6 months)Code generation for fast linear algebra CFD solversDesign and develop domain-specific code generator for CFD applications within LLVM/MLIR compiler framework :
- Implementing state-of-the art parallelization, vectorization and optimization techniques for in-place stencils, and enabling non-local optimization over the end-to-end CFD solver
- Exploring different strategies to schedule and parallelize in-place stencils computations in GPUs with C++/CUDA
- ONERA - The French Aerospace LabPostdoctoral ResearcherRESEARCHOctober 2021 - March 2023 (1 year and 6 months)92320 Châtillon, FranceCode generation for fast linear algebra CFD solversDesign and develop domain-specific code generator for CFD applications within LLVM/MLIR compiler framework :
- Implementing state-of-the art parallelization, vectorization and optimization techniques for in-place stencils, and enabling non-local optimization over the end-to-end CFD solver
- Exploring different strategies to schedule and parallelize in-place stencils computations in GPUs with C++/CUDA
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Education
- Doctor of Philosophy - PhD, applied mathematics and fluid mechanicsCentraleSupélec2018Doctor of Philosophy - PhD, applied mathematics and fluid mechanics
- diplome d'ingenieurECOLE CENTRALE PARIS2014diplome d'ingenieur
Certifications
- Deep LearningCoursera2019