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Marouane B.

@vw1249172vw

4.9
28

6.0

6.0

100%

C/C++ Expert

$25 USD / Hour

・

Flag of

Morocco (8:12 AM)

・

Joined on June 24, 2004

・

7 Recommendations

$25 USD / Hour

・

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

Verifications

On time

100%

On budget

100%

Accept rate

100%

Repeat hire rate

30%

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Portfolio

Portfolio

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

4.9 · 28 Reviews
28 Reviews
S
Flag of

David M.

5.0

$1,112 USD

10 years ago

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

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E
Flag of

Gaëtan F.

5.0

€400 EUR

10 years ago

Project for vw1249172vw

A very good work as always!

C Programming
Algorithm
Software Architecture
CUDA
C++ Programming

+1 more

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E
Flag of

Gaëtan F.

4.8

€2,500 EUR

11 years ago

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

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S
Flag of

David M.

5.0

$333 USD

11 years ago

Survey Selection Wall Website

Amazing, just absolutely amazing!

PHP
Software Architecture
C++ Programming

Share

S
Flag of

David M.

5.0

$650 USD

11 years ago

Create an automated data analytic program

He is absolutely amazing, period!

PHP
C Programming
Python
Statistics
Software Development

Share

Experience

S.S.O

Oct, 2002 - Present

•

23 years, 9 months

Manager & Programmer

Oct, 2012 - Present

•

13 years, 9 months

In GPU Real time physically based renderer (CUDA / C++)

Manager & Programmer

Jun, 2006 - Present

•

20 years, 1 month

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 ;

Manager & Programmer

Oct, 2002 - Sep, 2007

•

4 years, 11 months

Software development using C, OpenGL under Linux. • Development of software that allow 3D navigation of the north Moroccan territory with a resolution of 25m. Software development using C++, MySQL under Linux. • Development of a Crawler, a multi-task software with high performance. Software development using Visual Basic 6.0 and a SQL Server Database. • Development of software for the Regional Investment Center of the following cities Rabat & Dakhla. • Development a human resource management system for the Transmission Department of the “Gendarmerie Royal”. Software development using Visual Basic 6.0 and DB Access. • Development of Camélia software for SMEs (Small and Medium Entreprises) that allow commercial management.

Oct, 2002 - Present

•

23 years, 9 months

Logica

Sep, 2008 - Jun, 2010

•

1 year, 9 months

Software Engineer

Aug, 2009 - Jun, 2010

•

10 months

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.

Software Engineer

Sep, 2008 - Jun, 2010

•

1 year, 9 months

COMPETENCY CENTER TEAM LEADER C/C++

Software Engineer

Sep, 2008 - Aug, 2009

•

11 months

Software development using C/C++ and Informix DBMS under Unix Maintenance of the IS of BASE, third Belgian phone operator, using advance programming such as multi-threading and shared memory.

Sep, 2008 - Jun, 2010

•

1 year, 9 months

Solution Engineer

Oct, 2007 - Sep, 2008

•

11 months

IDConsulting

Oct, 2007 - Sep, 2008

•

11 months

Software development using J2EE and MySQL of “SMSAlert GUI” for “Nokia Siemens Network”. Security Audit for “Ministère des Pêches Maritimes” : Development of a document describing the vulnerabilities detected and recommendations to be followed to secure the system.

Oct, 2007 - Sep, 2008

•

11 months

Certifications

Basic Numeracy - Level 1

Basic Numeracy

C++ - Level 3

C++

C Programming - Level 3

C Programming

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