Profilbillede af ifriends710
@ifriends710
Flag for China Dandong, China
Medlem siden 23. marts 2013
19 Anbefalinger

ifriends710

Online Offline
Thank you for considering my profile. Here is one of the reviews from my clients. - Excellent developer. Fast, responsive and super impressive results - You can consider my skills here. ✔︎ Native iOS and Android app (Swift, Objective-C, Java, Kotlin) for 7+ years ✔︎ Hybrid Mobile app (React Native, ReactJS, Native Script) for 2+ years ✔︎ Web development (PHP, NodeJS, C#, ReactJS, AngularJS) for backend and frontend for 4+ years ✔︎ GIS web/desktop/mobile app (Google Map, OSM, MapBox, ArcGIS and many more) for 10+ years And here are my work styles. ✽ Regard your requirements as the main rule. ✽ Help you finish the requirements with my creativity and expert. ✽ Can response you anytime with fluent English. ✽ Crazy in coding quality and perfection. ✽ Support the maintenance of the product after completion. ✽ Provide technical consultant ✽ Familiar with team development as well Looking forward to working with you and good luck with your project.
$40 USD/hr
177 anmeldelser
8.5
  • 96%Jobs udført
  • 97%Indenfor Budget
  • 100%Til Tiden
  • 25%Genansættelsesfrekvens

Portfolio

Nylige bedømmelser

Erfaring

Iphone Developer

Mar 2009 - Jan 2013 (3 years)

I devloped BillBoard(utility app),CloudRider(game) in six month. And I joined the research of Computer Vision.

Mobile Developer/Team Lead

Jul 2007 - Jan 2009 (1 year)

Uddannelse

bachelors

2002 - 2006 (4 years)

Kvalifikationer

C++ Fundamentals (2010)

Brainbench

Publikationer

A new edge detection algorithm for flame image processing

Digital image processing is playing an increasingly important part in imaging based flame monitoring systems. A crucial step in flame image processing is to detect the flame edge, a dividing boundary between the area where there is thermo- chemical reaction and those without. The determination of flame edges is a precursor to flame image processing and measurement of flame parameters. Several known edge detection methods have been tested to identify flame edges but the results achieved are disappointing.

Certificeringer

  • Numeracy 1
    98%
  • Preferred Freelancer Program SLA
    89%
  • Objective C Level 1
    83%
  • iPhone Development 1
    80%
  • US English Level 2
    78%

Verifikationer

  • Facebook forbundet
  • Foretrukken Freelancer
  • Betalingsverificeret
  • Telefon Verificeret
  • Identitet verificeret
  • E-mailverificeret

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