Profilbillede af akhzarnazir
@akhzarnazir
Member since 7. juli 2015
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akhzarnazir

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Would you like to work with an expert Mobile App Developer who love to create great Native Apps for iPhone, iPad, Apple Watch and tvOS ? I am expert in developing Hybrid Apps in React-Native framework. I am working in this filed since 2009 in different software development companies. One abroad visit in 2014 to work on BLUE TOOTH LOW ENERGY DEVICES App in Shenzhen, China. 60+ Apps on Google and Apple App Stores. Includes Different categories. - Urdu Searchable Text - Urdu Text Mining Apps, - BLE Apps, - Chat Using XMMP, - Tracking Company App, - J2ObjC, Maven Framework and React Native. - Sports App. - B2B Shopping Apps, - Kids Games, - Social Media Apps, - Unity3D Apps, - Multimedia Apps, - Hybrid Apps, - Translation Services Apps, - Face Recognition App, - Learning Management System, - Entertainment apps (Cup Cake Maker), - Food Related Apps.
$25 USD/hr
5 anmeldelser
3.7
  • 100%Jobs udført
  • 100%Indenfor Budget
  • 100%Til Tiden
  • 50%Genansættelsesfrekvens

Portfolio

Nylige bedømmelser

  • billede af Smarter L. Project For Akhzarnazir - Ads Implementation $15.00 USD

    “In short, Akhzar is the best freelancer and good man indeed!”

  • billede af roccckkky Project for Akhzar N. -- 18/01/22 18:46:52 $50.00 USD

    “I hired Nazir and his team for the second time and can highly reccomend his work! Efficient, fast and high quality work!”

  • billede af roccckkky Mobile Entwicklung $333.00 USD

    “Great Freelancer and excellent to work with. This was my first project I ever done here, and I would hire Nazir Akhzar any time again! Thanks for the great job and help!!!”

  • billede af Smarter L. Project For akhzarnazir $100.00 USD

    “In Short, a great freelancer and a person indeed. Highly recommended...”

  • billede af Smarter L. Develope a Simple iOS application $194.00 USD

    “Great freelancer, very professional and committed. Always helpful. Understood requirements quickly. Highly recommended. Surely, Will hire him again!”

Erfaring

iOS Team Lead

Apr 2016

Supervised a team up to 10-20 employees providing daily direction to service both internal and external customers. Roles and Responsibilities: Assign modules as per technical requirements and quality objectives. Performed unit tests of developed modules for basic functionality before QA testing. Ensured timely completion of tasks. Interviewed, trained, and mentored analysts, and successfully managed team's work.

iOS Engineer

Apr 2014 - Apr 2016 (2 years)

Worked as Software Engineer as part of Team member to develop, maintain and upgraded existing and new modules. Roles and Responsibilities: Developed modules assigned by the supervisor as per technical requirements and quality objectives. Performed unit tests of developed modules for basic functionality before QA testing. Performed other related task assigned by the Immediate supervisor. Ensured timely completion of tasks assigned by the supervisor.

iOS App Developer

Aug 2012 - Apr 2014 (1 year)

Worked as iOS App Developer as part of Team member to develop, maintain and upgraded existing and new modules. Roles and Responsibilities: Developed modules assigned by the supervisor as per technical requirements and quality objectives. Performed unit tests of developed modules for basic functionality before QA testing. Performed other related task assigned by the Immediate supervisor. Ensured timely completion of tasks assigned by the supervisor.

Uddannelse

MS CS

2008 - 2010 (2 years)

MCS

2005 - 2007 (2 years)

Kvalifikationer

English Language (2005)

NUML Islamabad, Pakistan

English Speaking, listening reading and writing

Chinese Language (2015)

TEVTA Lahore Pakistan

Chinese Language Speaking

Publikationer

MINING THE URDU LANGUAGE BASED WEB CONTENT FOR OPINION EXTRACTION

People prefer to share and express opinions in their own language. Internet is a biggest repository for opinion sharing. Opinion mining refers to the use of NLP. Opinion mining for Urdu language is not well explored. Proposed approach is based on the identification and extraction of adji-units and decision from the given text using lexicon-based approach. [login to view URL]

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