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Curriculum Vitae
PERSONAL DETAILS
Name: **** Tareq Abd
Address: Kiev, Ukraine
Phone No.: Показать контакты
Age: 25
Gender: Male
Email:
****************** (mailto:******************)
, (mailto:***********************)
*********************** (mailto:***********************)
OBJECTIVE
UKM Computer Science Post-graduated seeking a programming or researching
position to gain further experience in the technical and research fields.
WORK EXPERIENCE
Iraq Software Company – Iraq (2013 - 2014)
IT support.
ZTE Company for Telecommunications – Malaysia (2017)
DTA & DTE analysis.
3G/2G Network KPIs monitoring & analysis.
University Kebangsaan Malaysia (UKM) – Malaysia (2016 - 2017)
Researcher.
Acclyne – Remotely (2018)
Software Developer (Front-End Developer).
Project: POS System (Design + Front-End)
Orbit – Turkey (2019)
Software Developer (Front-End Developer).
Project: Real Estate Project (Design + Front-End)
FreeLancer
Projects:
Tourism Mobile Application (Design + Front-End)
E-commerce Mobile Application (Under Develop).
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TECHNICAL SKILLS
Have a very good knowledge with:
HTML/HTML5
*******,3
Scss, Sass
Java Script
Type Script
JQuery
JQuery UI
*************
PrimeUI
Porto
Semantic UI
Materialize
Material UI
JSON
Gulp.js
Chart.js
React.js
Next.js
Express.js
React Native
NativeBase
MySQL
Babel
WebPack
Git / GitHub / GitLab
Firebase
Font Awesome
Heroku
WordPress
Have a good knowledge with:
Node.js, MongoDB, Angular, Ionic, Flutter, PHP, C#, Java
Have Knowledge with:
NetBeans and Eclipse IDEs
Visual studio
Visual studio Code
XMind
AutoCAD
Photoshop
Adobe XD
Have Experience and Knowledge with:
Linux Operating System (Ubuntu, Backtrack, Fedora)
Mac Operating System
Windows Operating System (************ &10, Vista, and XP)
Have knowledge with the electronic components.
Have knowledge with the controllers (Arduino, Ethernet).
Have knowledge with computers and phones maintenance (hardware and software),
Format and surf the Internet.
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EDUCATION
Bachelor in Computer Techniques Engineering (B.Eng)
AL- Ma’mon University College
Graduation Date: ************
Average: 79.90%
Master in Computer Science (Artificial Intelligence) (M.CS)
University Kebangsaan Malaysia (UKM)
Graduation Date: *****************
GPA: 3.56
Microsoft Learning Center (LLS Group)
Microsoft Office Word
Microsoft Office Excel
Microsoft Office Outlook
Microsoft Office PowerPoint
RESEARCH EXPERIENCE
April, 2013 AL-Ma’mon University College
Thesis Project: Controlling RC Car Using Parallel Port
Interfacing.
April, 2015 AL-Ma’mon University College
Thesis Project: Remote Patient Monitoring System with
GPRS using Arduino.
February, 2018 University Kebangsaan Malaysia (UKM)
Dissertation: Enhanced Word Embedding Technique for
Biomedical Named Entity Recognition.
Have a very good knowledge in the areas of Information Retrieval (IR), (http://nlp.stanford.edu/IR-book/) Natural
Language Processing (NLP) (http://en.wikipedia.org/wiki/Natural_language_processing) and Machine Learning (ML); with particular focus on
aspects such as user interaction, user interface, word Embedding, named entity
recognition, user tasks, classification and evaluation.
PROFILE
Ability to serve in an esteemed and reputed national level.
Ability to work within a multicultural environment.
Self – motivated.
Team player.
Organized.
Sociable.
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CONFERENCES
Joined UKM Integrated International Conference 2017 (UKM-IIC2017).
Presented In Asean Japan Joint-Workshop on Computational Linguistics &
Informatics (Ajcli 2017).
Date: ****************
Joined and presented in CAMP’************ Fourth International Conference on
Information Retrieval and Knowledge Management.
Date: *************
PUBLICATION
Published in Asia-Pacific Journal of Information Technology and Multimedia
(APJITM) under "Extended Distributed Prototypical For Biomedical Named Entity
Recognition".
Publish Date: ****************
Published in IEEE Xplore under "Investigation of Data Representation Methods
with Machine Learning Algorithms for Biomedical Named Entity Recognition".
Publish Date: *****************
Published In Malaysian Journal of Computer Science Under "A Comparative Study
of Using Word Representation with Conditional Random Fields And Maximum
Entropy Markov for Bio-Named Entity Recognition".
Publish Date: ****************
LANGUAGE SKILLS
English… Fluent speaker
Arabic… Native
French… Middle knowledge
Bahasa Melayu… Basic knowledge