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$30 USD / time
CHINAs flagg
dandong, china
$30 USD / time
Det er for øyeblikket 11:44 a.m. her
Ble med mai 6, 2019
0 Anbefalinger

Juan X.

@JuanXin315

 0,0 (0 omtaler)
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100%
100%
$30 USD / time
CHINAs flagg
dandong, china
$30 USD / time
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Gjenansettelsesrate

Deep Learning/Mobile/Web Full Stack Developer

I am very excited to see you on my profile. Juan Xin is a high talented developer of Web/Mobile Applications and Deep Neural Network. Since 2013, I have worked for Agileient Company in USA and came back to china in 2019. I'd finished 200+ projects during in USA. ----Specialties---- I work with a wide variety of technical expertise from programming to software engineering. -Deep learning Object Detection, Natural Language Processing, Predict and Analyse Data. -Awesome Front End and Back End Laravel / Django / Node.js / Mongo, Couch / React, Vue -iOS/Android Native and Hybrid apps -API Integration ----Service Guarantee------ *24*7 hours live support. *Free of cost technical support for lifetime. *High Quality Code *Stick To Deadline I assure that you would be happy to choose me as my mission is to build the long-term relationship. I am just a click away to help you.
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Portefølje

4964513
The best of Japanese homewares has never been so close to you. Shop Japanese-made ceramics, textiles and accessories to bring Zen to your home.
ObaChan
4964510
You can meet right people here.
HR Contact
4964507
A platform to assist marketing agencies and brands in managing content.
AdsStream
4964504
A platform for faster, easier and smarter way to plan and deliver teaching.
Teacherly
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Waitlist Me is a web and mobile platform based waitlist management app for businesses. Project Description: A Queue-Management App that was used on Black Friday by Targets 1200+ stores across the USA. This project is a career highlight because the app performed spectacularly well despite receiving 250 hits a second. Technology Description: Used a Python/Django based stack that was deployed on Google App Engine. This project had to support native mobile apps as well as complex sync algorithms, as Couchbase and Firebase didn’t exist at the time :-)
Waitlist Me
Waitlist Me is a web and mobile platform based waitlist management app for businesses. Project Description: A Queue-Management App that was used on Black Friday by Targets 1200+ stores across the USA. This project is a career highlight because the app performed spectacularly well despite receiving 250 hits a second. Technology Description: Used a Python/Django based stack that was deployed on Google App Engine. This project had to support native mobile apps as well as complex sync algorithms, as Couchbase and Firebase didn’t exist at the time :-)
Waitlist Me
4964490
⦁ Yolo V3 ⦁ Keras ⦁ TensorFlow
Real Time Vehicle Detection System
⦁ Yolo V3 ⦁ Keras ⦁ TensorFlow
Real Time Vehicle Detection System
4964513
The best of Japanese homewares has never been so close to you. Shop Japanese-made ceramics, textiles and accessories to bring Zen to your home.
ObaChan
4964510
You can meet right people here.
HR Contact
4964507
A platform to assist marketing agencies and brands in managing content.
AdsStream
4964504
A platform for faster, easier and smarter way to plan and deliver teaching.
Teacherly
4964501
Waitlist Me is a web and mobile platform based waitlist management app for businesses. Project Description: A Queue-Management App that was used on Black Friday by Targets 1200+ stores across the USA. This project is a career highlight because the app performed spectacularly well despite receiving 250 hits a second. Technology Description: Used a Python/Django based stack that was deployed on Google App Engine. This project had to support native mobile apps as well as complex sync algorithms, as Couchbase and Firebase didn’t exist at the time :-)
Waitlist Me
Waitlist Me is a web and mobile platform based waitlist management app for businesses. Project Description: A Queue-Management App that was used on Black Friday by Targets 1200+ stores across the USA. This project is a career highlight because the app performed spectacularly well despite receiving 250 hits a second. Technology Description: Used a Python/Django based stack that was deployed on Google App Engine. This project had to support native mobile apps as well as complex sync algorithms, as Couchbase and Firebase didn’t exist at the time :-)
Waitlist Me
4964490
⦁ Yolo V3 ⦁ Keras ⦁ TensorFlow
Real Time Vehicle Detection System
⦁ Yolo V3 ⦁ Keras ⦁ TensorFlow
Real Time Vehicle Detection System

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