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Hafiz Asadul Rehman F.
@harfarooqi
5,0
33
4,4
4,4
100%
Java | Fintech | AWS CCP DEV | Mobile Apps | AI/ML
$20 USD / Saat
・
Pakistan (11:13 ÖS)
・
Temmuz 20, 2014 tarihinde katıldı
$20 USD / Saat
・
I have more than 5 years industry + academic experience in Java along with front-end experience in HTML, CSS and JSP framework.
I am ATG developer, software engineer, passionate, hardworking, honest and a quick learner.
I can design, analyse and implement code very effectively and efficiently with accuracy in a professional manner. I can serve in back-end, front-end and on the database side as well.
My technical exposure encircles web programming both front-end and back-end, writing and analysis codes, support and usage of new technologies.
I familiar with the following technologies.
✓ Java, Spring, spring boot, Java Server Pages, Jave Servlet Faces, Jasper Report 5.5
✓ IBM MQ, Queue manager, JMS, TCH (The clearing house)
✓ AWS Integration (Elastic Beanstalk, EC2, RDS, Elastic Search etc)
✓ Oracle Repository System, Hibernate, Spring MVC framework, Crystal Report 11.
✓ HTML, XHTML, HTML5 , CSS, CSS3, Prime faces 5, Java script
✓ MySQL, MS SQL server, Oracle SQL Server 11.2, DevOps
✓ ATG 11.2, Oracle SQL developer 12 G, Sumo logic, putty, New Relic Cygwin
✓ RESTful APIs, Web services, Docker.
✓ C, C++, C#, .NET framework, Assembly language
✓ Python, Machine Learning, Artificial Intelligence, Swarm Intelligence, Evolutionary algorithms, Pattern Recognition.
✓ Notebook Jupiter, PyCharm, MOEA, J Metal, platEMO platforms.
Servers and Tools:
✓ Eclipse, NetBeans, JE 8.1, EC2, Matlab, MS Visual Studio, MS Office
✓ J boss 7, Tomcat, Apache
✓ GIT, JIRA, BitBucket
Accomplishments
1. One publication in international journal of pattern recognition and artificial intelligence titled as "Learning regular expressions using XCS based classifier system"
2. 1st position in writing competition in university.
Projects
1. Human activity detection using Kinect sensor in class room.
2. Tic Tac Toe, Library Management System, Connect 4 game
3. Learning regular expressions using XCS based classifier system
4. Multiple sequence alignment using enhance bird swarm align algorithm
Education
1. M Phill Computer Science from National University of Computer and Emerging Sciences NUCES
2. B Sc Computer Engineering from University of Engineering and Technology, Taxila Pakistan.
Abilities
1. Team player
2. Easygoing, communicative
3. Ability to do work in difficult situation.
4. Flexibility, ability to cope with any difficulties during short time-period
Hafiz is very committed to work requirements and highly collaborative. He has excellent communication skills and shows a strong interest in his work. It was a pleasure working with him.
National University of Computer and Emerging Sciences
2015 - 2015
MS(CS) with research work
Pakistan
2015 - 2015
Yetkinlikler
AWS developer associate
2023
Amazon web services
Amazon web services cloud developer associate
2023
AWS certified cloud practitioner
2023
Amazon web services
Amazon web services cloud practitioner certification
2023
C++ certification
2011
TRAC (Taxilian Robotic Automation club)
This certification was about c++ language
2011
Yayımlar
Learning Regular Expressions using XCS-based Classifier System
International Journal of Pattern Recognition and Artificial Intelligence
Evolutionary machine learning research aims to develop classifier systems that can solve complex and hard tasks. This paper addresses the problem of inferring a regular expression from a given set of strings for automating the task of information extraction. This paper is the first to propose the extension of accuracy based classifier system XCS to learn the regular expressions for text extraction. This new system named as XCSREA includes tree-like code fragments to learn regular expressions.
Human Activity Recognition using kinect in lecture room
UET Taxila
This project is based on human posture detection using Kinect sensor. A multi-class human posture detection and recognition system is presented that based on the geometric features of Kinect. The recognition is based on describing activities as a continuous sequence of discrete postures. Background is subtracted from each scene to detect the foreground. This foreground contain the skeleton data that can be detect by Kinect sensor. There will be some vectors in three dimension scene that will use to represen
Sertifikalar
P
Preferred Freelancer Program SLA
Basic Numeracy
SQL
OracleSQL
C# Programming
SQL
Java
Java
Java EE 6
OracleSQL
US English
Algorithms
SQL Server
SQL
C++
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