Profilbillede af tanoliusmanali
@tanoliusmanali
Flag for Pakistan Karachi, Pakistan
Medlem siden 3. maj 2014
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tanoliusmanali

Online Offline
I am a Profession Software Engineer having 5+ years of experience in java frameworks i.e. Spring, JSF, Vaadin for backend and angularJs, Angular 4, Jquery and bootstrap for front end developement.
$8 USD/hr
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0.0
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Portfolio

Nylige bedømmelser

Ingen bedømmelser.

Erfaring

Sr. Software Engineer

Jun 2017

• Shifted product from plain java project to Spring Boot Project • Shifted Front end from Angular 1 to Angular 4 • Mostly Working on backend tasks • Using Spring data as an ORM • Spring Stomp implementation

Sr. Software Engineer

Feb 2016 - Jun 2017 (1 year)

Barnes and Nobel (POS System) POS system is used for enabling students to buy books online. In this project i created Restful Services for Placing Order. Barnes and Nobel (Support Project) This project is developed by using technologies like Spring, Hibernate, Restful Services, Bootstrap. Visitor Management System This project is used to monitor the visitor activities in company. This project is developed on Spring MVC, Bootstrap, Angular JS, Hibernate.

Software Engineer

Oct 2014 - Feb 2016 (1 year)

Back Office Web Portal (BOAS web portal) This project is basically where the investor come to get their transaction history and do many other stuff that were not available online. This project is built on Prime faces, iBatis, oracle 12c and Restful services. CDC MUFAP project This project is in under process that is built on JSF and iBatis.

Software Engineer

Feb 2013 - Oct 2014 (1 year)

Workstream Rapid Automator (WRA) Workstream Rapid Automator allows a business user to build customized web base solutions. Amazon Cloud Deployment Before going on Amazon cloud I worked on Virtual Machine to Deploy projects on Linux OS.

Uddannelse

Master's in Computer Science

2013 - 2015 (2 years)

Bachelor in Computer Science

2008 - 2012 (4 years)

Publikationer

Efficacy of Live DDoS Detection with Hadoop

These DDoS attacks overwhelm the victim with huge volume of traffic and render it incapable of performing normal communication or crashes it completely. In this paper, we propose HADEC, a Hadoop based Live DDoS Detection framework to tackle efficient analysis of flooding attacks by harnessing MapReduce and HDFS. We implemented a counter-based DDoS detection algorithm for four major flooding attacks (TCP-SYN, HTTP GET, UDP and ICMP) in MapReduce.

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