Profilbillede af pcrafter
@pcrafter
Flag for India Indore, India
Medlem siden 17. januar 2017
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pcrafter

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I have a master degree in computer science and 5+ years of experience as Full Stack Developer during this tenure I worked on the native Mobile application​. I am confident that I have the skills you are searching for in a developer. I have experience working with Java, swift, Android app development, Ios app development. My experience includes working with gaming, multimedia apps, e-commerce, and web-services. I stay updated on all the latest developments and trends. My skills are the following: - Google Map, Geofence, Geolocation SDKs; - Camera API; - Audio/Video streaming; - Facebook, Twitter, Linkedin, Instagram SDK; - RESTapi with Retrofit, Volley; - Firebase Cloud Messaging (FCM, GCM) ; - Parse, Firebase SDK integration; - Barcode, QR scanners; - In-app purchases. - Bluetooth, Bluetooth Low Energy (BLE) - Arduino (connect to Android via HC-05, HC-06)
$12 USD/hr
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Portfolio

Nylige bedømmelser

Ingen bedømmelser.

Erfaring

Mobile Application Developer

Apr 2017

It is a product based company and here I am working on Magento based e-commerce mobile application (Mango E-cart). It is multistore,multicurency and multilingual appliction.​

Full Stack Developer ,Android Developer ,Analyst

Oct 2012 - Mar 2017 (4 years)

I worked in this company as an android developer this tenure, I worked on more than 25 android application from different areas like e-commerce, Gps base application, social application, Chating application, fitness app and much more.

Uddannelse

M Tech.

2013 - 2015 (2 years)

B.E

2008 - 2012 (4 years)

Kvalifikationer

Advance Computing and mobile networking (2014)

maulana azad national institute of technology

During this course, I learned about cloud-based video streaming and various techniques.

Publikationer

Identifying Emotion from Text A Survey and further possible Improvements

Emotion can be expressed in a number of ways that can be seen such as facial expression, gestures, speech and by written text. Sufficient amount of work has been done to recognize emotions from speech and facial expression but emotion recognition based on text still needs attraction of researchers. In this paper emotion recognition based on textual data and the techniques used in emotion detection are discussed.

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