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Flag of Egypt Cairo, Egypt
Member since August, 2012
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Amr Kamel

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We are a strong team has distinguished competencies in software development and digital marketing of web applications, mobile applications and back-end engines using nearly any programming language especially C/C++, JAVA, PHP and C#.
$30 USD/hr
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Co-Founder & CEO

Nov 2011

Small software company for developing and marketing cloud-based applications and providing consultancy services in them.

System Analyst

Jun 2007

lthough my current job definition includes the following items, they are typically expanded beyond this declaration: 1. Participate in project scope definition. 2. Participate in project schedules and plans. 3. Participate in presales activities including demos, and workshops. 4. Writing complex software programming code. 5. Participating in bugs diagnoses. 6. Producing use case specifications. 7. Producing high level design. 8. Reviewing test cases. 9. Development team leadership & coaching.


Jul 2003 - Jun 2007 (3 years)

- Participated in designing ArabDox 5.0 core server. · Participated in preparing ArabDox 4.0 for Intel test, which targeted inserting 10 million documents to ArabDox, and passed better than expected. · Participated in developing many ArabDox 5.0 components including NT Services and COM+ components. · I was a key person in designing and development of ArabDox server side components, A Document management and workflow system.


B.SC. Engineering - Electricity Division- Computer Systems

1995 - 1999 (4 years)

M.SC. Engineering - Electricity Division - Computer Systems

2004 - 2009 (5 years)

Diploma - Executive Management

2010 - 2011 (1 year)


Microsoft Certified Professional (2002)


Microsoft Certified Professional in Microsoft Visual C++


Evolving comprehensible neural network trees using genetic algorithms

This paper presents a comprehensible neural network tree (CNNTREE). CNNTREE is a proposed general modular neural network structure, where each node in this tree is a comprehensible expert neural network (CENN). One advantage of using CNNTREE is that it is a "gray box"; because it can be interpreted easily for symbolic systems; where each node in the CNNTREE is equivalent for symbolic operator in the symbolic system. Another advant


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