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Eman H.
@Emanalaa05
5,0
13
3,3
3,3
100%
✨✨ Quality Control Specialist ✨✨
$15 USD / hora
・
Egypt (4:39 a. m.)
・
Se unió el diciembre 9, 2021
$15 USD / hora
・
As a software tester with extensive experience in website and mobile app testing , I am confident that I can help bringing your ideas to life .
Please take a look at my portfolio to see some of my previous work , and let me know how I can assist you .
I would love to hear from you ! Please don't hesitate to reach out to me at any time .
✅ I have experience using variety of software testing tools include :
✨✨ Jira - Appium - Postman -Trello -Youtrack ✨✨
✅ I have work skills include:
✨ Manual Testing
✨ Functional/non-Functional testing .
✨ Writing effective test cases and bug reports .
✨ Testing web applications.
✨ Testing mobile applications ( Android-IOS).
✅ I am certified :
✨✨ ISTQB FL✨✨
✨✨ ISTQB Agile tester✨✨
The freelancer conducted a comprehensive website usability test, delivering diligent and high-quality results. Their keen insights and detailed feedback significantly improved the user experience. Highly recommend their expertise for anyone seeking thorough and professional usability evaluations.
Making functional , non-functional and UI testing for different websites and dashboards
ene, 2024 - Presente
•
11 meses, 27 dÃas
Software testing engineer freelancer
may, 2023 - ene, 2024
•
8 meses
Upwork website
may, 2023 - ene, 2024
•
8 meses
Writing effective test cases and bug reports for different websites and mobile apps
may, 2023 - ene, 2024
•
8 meses
Educación
Helwan University Cairo
2013 - 2018
•
5 años
biomedical engineering department with grade very good and Excellent for graduation project .
Egypt
2013 - 2018
•
5 años
Calificaciones
Global nominee for don't crash my drone challenge
2016
NASA space apps
Create an app that will enable small drone operators to know more about specific weather parameters, local terrain and no fly zones within a five-mile radius of their GPS location.
2016
Publicaciones
Semantic segmentation for haptic vision
Segmentation team
Our aim in our project is to accomplish an important part in this project which is scene
segmentation, we here work to make this segmentation allowed by many ways.
First of all, we work out to train different datasets such: ADE20K with 20,210 images,
cityscapes dataset 5000 annotated images and pascal dataset with 1,464 images with different
networks such: FCN, Dilated network, PSP network and Deeplab network to allow semantic
segmentation for objects indoor and outdoor real-life