فاطمة عيد محمد, Software Embedded systems Engineer

فاطمة عيد محمد

Software Embedded systems Engineer

The Egyptian Bureau for Engineering

البلد
قطر - الدوحة
التعليم
بكالوريوس, Engineering
الخبرات
11 years, 11 أشهر

مشاركة سيرتي الذاتية

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الخبرة العملية

مجموع سنوات الخبرة :11 years, 11 أشهر

Software Embedded systems Engineer في The Egyptian Bureau for Engineering
  • مصر - القاهرة
  • أشغل هذه الوظيفة منذ يوليو 2014

1.Developing embedded system software for POS (Point Off Sale)
terminals, which cover some of nationals projects and banks
projects also.

2.Developing desktop and windows services for banks.

Projects:
Card data manager application (credit\debit card printing and issuing solution ) that is used in some national banks and non national banks also

Software embedded systems engineer في Smart Cards Application
  • مصر - القاهرة
  • سبتمبر 2013 إلى أغسطس 2014

Developing embedded system software for POS (Point Off Sale)
terminals, which cover some of nationals projects and banks
projects also.

Projects:
Bread points exchange project, developed and designed the client pos
terminal software (Ministry of Supply and Internal trade - Egypt).

External Public relations في Steps Towards Progress
  • مصر - القاهرة
  • أغسطس 2011 إلى سبتمبر 2012

1.Publicizing news & events.
2.Promoting established products or services.
3.Creating a favorable reputation of the company.
4.Arranging & publicizing public appearance of marketing spokespersons.
5.Attracting news media coverage of sales conferences, trade shows &other sales promotion events.

الخلفية التعليمية

بكالوريوس, Engineering
  • في Cairo University
  • يناير 2008

2008-2012Faculty of engineering -Cairo University - Egypt • B.Sc. (Electronics and Communication), June 2012 • Graduation Project: Body recognition and Gesture development using Kinect SDK • Graduation Project Grade: excellent • Graduation Grade: Very Good • Elective Courses • OS (operating system) • Wireless communication • DSP Abstract About Graduation Project We propose a new method to quickly recognize the static and moving bodies using Microsoft Kinect sensor that can be used to reliably capture information from body movements in real-time fashion. We capture the measurements from the sensor, classifying them with several classification methods to get the best accuracy. We used Euclidian, City block, Naïve Bayes and Neural Network classifiers which enable us to recognize 30 people with accuracy exceeds 90%.

Specialties & Skills

Embedded Systems
Programming
IT Technical Support
visual studio 2010
Embedded c
Soft Skills:Highly Communications and negotiation Skills
Android

اللغات

العربية
متمرّس
الانجليزية
متمرّس

العضويات

Resala charity
  • Responsible member in clothes department
  • June 2010

التدريب و الشهادات

Behavioral approach course (الشهادة)
تاريخ الدورة:
July 2011
GSM course (تدريب)
معهد التدريب:
IT gate company
تاريخ الدورة:
August 2010
المدة:
30 ساعة

الهوايات

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