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$25 USD / hora
Bandera de MOROCCO
rabat, morocco
$25 USD / hora
Aquí son las 2:42 a. m.
Se unió el junio 24, 2004
7 recomendaciones

Marouane B.

@vw1249172vw

 4,9 (28 comentarios)
6,0
6,0
100%
100%
$25 USD / hora
Bandera de MOROCCO
rabat, morocco
$25 USD / hora
100 %
Trabajos finalizados
100 %
Dentro del presupuesto
100 %
A tiempo
30 %
Tasa de recontratación

C/C++ Expert

Information technology has reached the peak of its development speed. therefore programming has never been more essential. If you want your business to stand out from the competition, you definitely need a programmer with excellent skills, deep knowledge and long-standing experience in this rapidly evolving industry. During my 15-year experience, I use my key skills for developing high performance and high availability applications, for the most demanding environments, such as Banking, Telecommunication, and Military. Using only cutting-edge technology, I strongly believe that I have the competence needed to fully satisfy your programming requirements. Do not hesitate to contact me, for additional details or if you just need a piece of advice from a programming expert. KEY SKILLS: • C / C++ • Parallel programming (CPU, GPU, machines cluster) • Network programming • Algorithmic • Penetration testing • Fast learner
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Contacta Marouane B. sobre tu trabajo

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Portafolio

2063970
Matrix - matrix multiplication of size 2048 x 2048. This multiplication shows a huge improvement more than 80 times faster than CPU, Notice to mathematician, migrate your mathematical model to the GPU, if they can be parallelized.
GPGPU, matrix - matrix multiplication
2041809
Registration of retinal fundus images, this is not done by standard method of images stitching (Usual 360° panorama).The main reasons that avoid standard methods:1) Spatial distortion as a result of mapping the curved retinal surface onto the image plane; 2) Small image overlap; 3) Noisy input images. PS: I am using a paper that is not written by me.
Fundus Image Registration
Registration of retinal fundus images, this is not done by standard method of images stitching (Usual 360° panorama).The main reasons that avoid standard methods:1) Spatial distortion as a result of mapping the curved retinal surface onto the image plane; 2) Small image overlap; 3) Noisy input images. PS: I am using a paper that is not written by me.
Fundus Image Registration
Registration of retinal fundus images, this is not done by standard method of images stitching (Usual 360° panorama).The main reasons that avoid standard methods:1) Spatial distortion as a result of mapping the curved retinal surface onto the image plane; 2) Small image overlap; 3) Noisy input images. PS: I am using a paper that is not written by me.
Fundus Image Registration
Registration of retinal fundus images, this is not done by standard method of images stitching (Usual 360° panorama).The main reasons that avoid standard methods:1) Spatial distortion as a result of mapping the curved retinal surface onto the image plane; 2) Small image overlap; 3) Noisy input images. PS: I am using a paper that is not written by me.
Fundus Image Registration
Registration of retinal fundus images, this is not done by standard method of images stitching (Usual 360° panorama).The main reasons that avoid standard methods:1) Spatial distortion as a result of mapping the curved retinal surface onto the image plane; 2) Small image overlap; 3) Noisy input images. PS: I am using a paper that is not written by me.
Fundus Image Registration
Registration of retinal fundus images, this is not done by standard method of images stitching (Usual 360° panorama).The main reasons that avoid standard methods:1) Spatial distortion as a result of mapping the curved retinal surface onto the image plane; 2) Small image overlap; 3) Noisy input images. PS: I am using a paper that is not written by me.
Fundus Image Registration
2051038
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
2057134
I managed to do Lexical analyzer and Parser generator using JAVA.
Lexical analyzer and Parser generator
I managed to do Lexical analyzer and Parser generator using JAVA.
Lexical analyzer and Parser generator
I managed to do Lexical analyzer and Parser generator using JAVA.
Lexical analyzer and Parser generator
2039397
WEB site linked to "R Project" to do some mathematical functions.
Automated Data Analytic
WEB site linked to "R Project" to do some mathematical functions.
Automated Data Analytic
2063970
Matrix - matrix multiplication of size 2048 x 2048. This multiplication shows a huge improvement more than 80 times faster than CPU, Notice to mathematician, migrate your mathematical model to the GPU, if they can be parallelized.
GPGPU, matrix - matrix multiplication
2041809
Registration of retinal fundus images, this is not done by standard method of images stitching (Usual 360° panorama).The main reasons that avoid standard methods:1) Spatial distortion as a result of mapping the curved retinal surface onto the image plane; 2) Small image overlap; 3) Noisy input images. PS: I am using a paper that is not written by me.
Fundus Image Registration
Registration of retinal fundus images, this is not done by standard method of images stitching (Usual 360° panorama).The main reasons that avoid standard methods:1) Spatial distortion as a result of mapping the curved retinal surface onto the image plane; 2) Small image overlap; 3) Noisy input images. PS: I am using a paper that is not written by me.
Fundus Image Registration
Registration of retinal fundus images, this is not done by standard method of images stitching (Usual 360° panorama).The main reasons that avoid standard methods:1) Spatial distortion as a result of mapping the curved retinal surface onto the image plane; 2) Small image overlap; 3) Noisy input images. PS: I am using a paper that is not written by me.
Fundus Image Registration
Registration of retinal fundus images, this is not done by standard method of images stitching (Usual 360° panorama).The main reasons that avoid standard methods:1) Spatial distortion as a result of mapping the curved retinal surface onto the image plane; 2) Small image overlap; 3) Noisy input images. PS: I am using a paper that is not written by me.
Fundus Image Registration
Registration of retinal fundus images, this is not done by standard method of images stitching (Usual 360° panorama).The main reasons that avoid standard methods:1) Spatial distortion as a result of mapping the curved retinal surface onto the image plane; 2) Small image overlap; 3) Noisy input images. PS: I am using a paper that is not written by me.
Fundus Image Registration
Registration of retinal fundus images, this is not done by standard method of images stitching (Usual 360° panorama).The main reasons that avoid standard methods:1) Spatial distortion as a result of mapping the curved retinal surface onto the image plane; 2) Small image overlap; 3) Noisy input images. PS: I am using a paper that is not written by me.
Fundus Image Registration
2051038
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
Compression of video surveillance using OpenCV, by letting only the parts where there is objects movement. The original video is 1 hour length resulting in less than 7 minutes.
Video tracking
2057134
I managed to do Lexical analyzer and Parser generator using JAVA.
Lexical analyzer and Parser generator
I managed to do Lexical analyzer and Parser generator using JAVA.
Lexical analyzer and Parser generator
I managed to do Lexical analyzer and Parser generator using JAVA.
Lexical analyzer and Parser generator
2039397
WEB site linked to "R Project" to do some mathematical functions.
Automated Data Analytic
WEB site linked to "R Project" to do some mathematical functions.
Automated Data Analytic

Comentarios

Cambios guardados
Mostrando 1 - 5 de 28 reseñas
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5,0
$1.112,00 USD
Create and automated data analytic and clustering tool
Absolutely amazing experience! He is a genius, creative, honest, and reliable. He understood exactly what I needed and even recommended better solutions. This is someone who I will hire over and over again. You will never go wrong with him and be extremely happy with your final product. He knows analytics, programming, machine learning, artificial intelligence, and makes clean designed products.
PHP
C Programming
Software Architecture
C++ Programming
Statistical Analysis
S
Bandera de David M.
@Shmelks
•
hace 8 años
5,0
€400,00 EUR
Project for vw1249172vw
A very good work as always!
C Programming
Algorithm
Software Architecture
CUDA
C++ Programming
+1 más
E
Bandera de Gaëtan F.
@Evrest68
•
hace 8 años
4,8
€2.500,00 EUR
Développement d'une solution de détection de fumée avec une caméra IP
Marouane est trés professionnel, il a abordé le projet de manière très sérieuse. Malgré les difficultés Marouane n'a rien lâché, nous le recommandons vivement. Good job, Marouane !
C++ Programming
E
Bandera de Gaëtan F.
@Evrest68
•
hace 9 años
5,0
$333,00 USD
Survey Selection Wall Website
Amazing, just absolutely amazing!
PHP
Software Architecture
C++ Programming
S
Bandera de David M.
@Shmelks
•
hace 9 años
5,0
$650,00 USD
Create an automated data analytic program
He is absolutely amazing, period!
PHP
C Programming
Python
Statistics
Software Development
S
Bandera de David M.
@Shmelks
•
hace 9 años

Experiencia

Manager & Programmer

S.S.O
oct 2012 - Presente
In GPU Real time physically based renderer (CUDA / C++)

Manager & Programmer

S.S.O
jun 2006 - Presente
Development of a search engine indexing millions of pages with this options : * Incremental Indexing; * Minimal Hashing Function as indexing system; * Language recognition; * Natural Language Processing (French,English,Arabic,Dutch) ; - Document summarization for (Ranking & Related terms); * Social Network Analysis (Ranking) ; * Machine Learning (Ranking) ; * Indexing Flash documents (swf); * Stemming ;

Software Engineer

Logica
ago 2009 - jun 2010 (10 meses, 1 día)
Software development using C/C++ and Oracle under Unix I work on improvements and BUG fixing of the (BCE/BCA) system. It collects & analyzes the world wide risks given by “Société Générale” banking company.

Contacta Marouane B. sobre tu trabajo

Inicia sesión para comentar cualquier detalle por chat.

Verificaciones

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Certificaciones

numeracy_1.png Basic Numeracy 1 88%
cplusplus_3.png C++ 3 85%
c-prog-3.png C Programming 3 85%
freelancer_orientation.png Freelancer Orientation 1 80%
CUDA.png CUDA 1 78%

Principales habilidades

C Programming 18
C++ Programming 18
Software Architecture 13
Algorithm 7
CUDA 6

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