Mohamed - Développeur MATLAB

Ref : 200506L001
Photo de Mohamed, Développeur MATLAB
Compétences
Expériences professionnelles
  • EXPERIENCE professionnelle

    Own project
    Independent Researcher, AI
    Paris, France
    July 2019 -
    ⇧ Performed prior art search Machine Learning and applications
    ⇧ Computed models of Machine Learning and Neural Networks
    ⇧ Experimented python libraries for several applications
    ⇧ Studied the potential ways of development to improve learning algorithms
    ⇧ Structured ways and developed intuitions for feature engineering
    ⇧ Programed and applied Kalman Filters to track dynamic systems
    Accumilo, Git, Matlab, Python, [MacOs, Linux].

    Pearltrees (Startup - Social Networking Service)
    R&D Engineer, PhD
    Paris, France
    June 2018 - June 2019
    ⇧ Created and developed new features to improve the Technology
    ⇧ Organized and performed Test strategies
    ⇧ Conducted Quality Tests
    ⇧ Helped the sta↵ teams on technical problems
    Agile method, CSS, HTML, Java, JavaScript, MySQL, SVN - [Linux, MacOS, Windows].

    Own project
    Independent Researcher, Teacher & Facilitator, Mathematics, C++
    Paris, France
    Sep. 2017 - May 2018
    ⇧ Performed prior art search to use modern C++-‘11,14’
    ⇧ Dynamic Programing | Graph Theory | Signal processing
    ⇧ Developed C++ library to optimize my PhD results
    ⇧ Explored C++ libraries of linear algebra for applications in Image processing
    ⇧ Identified companies and potential collaborations
    C++-‘11,14’(Boost, BLAS, LAPACK, OpenCv, STL), CMake, Git, Python - [Linux, MacOS].

    Ecole Polytechnique
    Research Assistant, PhD
    Palaiseau, France
    Jan. 2014 - June 2017
    ⇧ Designed and executed a novel system of practical data acquisition
    ⇧ Introduced new algorithm for 3D imaging
    ⇧ Simulated dataset to test our models by solving numerically wave equations
    ⇧ Performed analysis on datasets for applications to land mine detection technology
    ⇧ Analyzed potential applications of new models
    C++, FreeFem++, Git, Labview, Latex, Matlab - [Linux, MacOS].
    INRIA Saclay
    Researcher Intern, Master Thesis
    Palaiseau, France
    Feb. - June 2013
    ⇧ Performed prior art search Scattering Theory and Radar Imaging
    ⇧ Developed programs to simulate data by solving wave equations using numerical approaches
    Latex, Matlab - [Linux, Windows].
    NOVEC - CDG Development
    Application Engineer, Intern
    Rabat, Morocco
    July - Aug. 2012
    ⇧ Performed prior art search on ANSYS Fluent
    ⇧ Designed and simulated a mini Wastewater treatment plant
    ⇧ Studied and Compared my results with those obtained by the team using other software
    ANSYS Fluent, Office - [Windows].

    Lab. of Mathematics Moulay Ismail University
    Researcher Intern, Initial training in scientific research
    Meknes, Morocco
    Feb. - June 2010
    ⇧ Performed prior art search on Interpolation techniques and Approximation of Data
    ⇧ Developed C++ libraries for several approximation techniques
    ⇧ Analyzed and compared these techniques: evaluating the length of curves known by few points
    C++, Latex - [Linux, Windows].

Études et formations
  • EDUCATION

    Ecole Polytechnique
    Ph.D, Applied Mathematics
    Palaiseau, France
    June 2017
    Mohammadia Engineering School
    Engineer Degree, Applied Mathematics
    Rabat, Morocco
    Aug. 2013
    Moulay Ismail University
    BSc, Mathematics & Applications
    Meknes, Morocco
    June 2010
    Omar IbnKhattab High School
    Baccalaureate, Mathematics & Physics
    Meknes, Morocco
    June 2007

    SKILLS
    Language:
    ⇧ English - Full professional proficiency
    ⇧ French - Native or bilingual proficiency
    ⇧ Arabic - Native or bilingual proficiency
    Activities:
    ⇧ Swimming, Cooking, Board Games
    Summary & Interests:
    ⇧ C/C++(Boost, OpenCV, STL), CMake, Git, Java, SVN, VBA
    ⇧ Matlab, MySQL, Python(Pandas, Numpy, Matplotlib, scikit-learn, sciPy, keras, tensorflow)
    ⇧ Research & Development
    ⇧ Modeling, and scientific computing
    ⇧ Machine Learning and Deep Learning & Large Scale ML, AI
    ⇧ Statistical processing and data modeling
    ⇧ Image & Signal Processing
    ⇧ Graph Theory
    ⇧ Dynamic Programing
    ⇧ Testing and benchmarking of the results
    ⇧ Optimizing hardware or software implementation

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