cv haider abd aounoo1

Haider abd aoun Kazem
Tel: 07700281899

E-mail :[email protected]
PERSONAL INFORMATION:
Date of Birth: 1994
Gender: Male Marital Status: Single
EDUCATION:
University of IRAQI, Faculty of Engineering,

Baghdad BSc in Computer Engineering

Technical Skill:

web Devloper

(PHP,MYSQL,API,Jason,laravel). Web
Design(HTML,CSS,javascript,)-
Microsoft Office.

Qualifications

Courses Online(HTML,CSS,SQL,PHP)

Objects

I work php web Developer as freelancer for more than two years I programming the web and CMS by
use software architecture pattern (MVC) Model-View-Control and API for managing back-end
services and the interchange of data between the server and the users. and i programming in Front-
End
(HTML5,Css3,Java Script) and i like to work with Team To develop work

My Project

Online student quiz system for class subjects
Exams for students system over the network system operates by giving the students are allowed to enter the
quiz a certain time and across No. exam series also gives authority to each teacher to enter the system and
put questions to the test by the experienced easy and simple do not need programming knowledge and
calculates grades for each student
By use of programming languages (HTML,CSS,PHP,MYSQL)

Site Sales Manager +CMS (HTML,CSS,PHP,MVC,MYSQL)
And my website

http://nabalhayat.com/
https://alkafeel.net/women_library

http://www.almawshour.com/
https://alkafeel.net/mechanisms_inv/

And other project and site

Graduation project

QUADCOPTER BASED OBJECT DETECTION
we develop and integrate a quadcopter in X-configuration with an IP camera for object detection based on the colour of an
object. A KK2 microcontroller is used to control the quadcopter movements., which are used to control the movement of the
quadcopter. The parts of the whole UAV are selected and integrated. The calibration processes are handled after installing
necessary controller codes. The IP camera is then integrated with the selected quadcopter frame. Mobile camera with GPS data
is used for object detection.. The results show that the images were captured and analysed successfully and the objects were
detected based according to their colour.

Other project

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