Personal Information
Unternehmen/Arbeitsplatz
Hyderabad Area, India India
Beruf
Vice President of Delivery and Deployment
Branche
Technology / Software / Internet
Webseite
shashijeevan.com
Info
I have M. Tech. from IIT Kharagpur and am the inventor of US Patent (Number: 6,609,084, Issue Date: August 19, 2003).
I am an Entrepreneur, Inventor, Author, Trainer, Manager and Architect.
In my professional experience of 24+ years, I had managed, architected, designed, developed, and deployed solutions/products in ePayments, Digital Signage, Rich Media Management, and other domains. I had extensively used many of the architectural patterns, design patterns and principles to create extensible, scalable and reusable solutions. I had also successfully imparted the knowledge and experience to many professionals through many training and workshops.
Tags
cloud
azure
keras
machine learning
deep learning
azure functions
functions
introduction
cloud computing
serverless
gab2018
ubuntu
microsoft
cntk
artificial intelligence
mnist
ai
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Präsentationen
(3)Gefällt mir
(5)NLU / Intent Detection Benchmark by Intento, August 2017
Konstantin Savenkov
•
Vor 6 Jahren
Introduction to deep learning workshop
Shamane Siriwardhana
•
Vor 6 Jahren
An Introduction to Deep Learning (March 2018)
Julien SIMON
•
Vor 6 Jahren
Nodejs a-practical-introduction-oredev
Felix Geisendörfer
•
Vor 12 Jahren
Node.js Patterns for Discerning Developers
cacois
•
Vor 10 Jahren
Personal Information
Unternehmen/Arbeitsplatz
Hyderabad Area, India India
Beruf
Vice President of Delivery and Deployment
Branche
Technology / Software / Internet
Webseite
shashijeevan.com
Info
I have M. Tech. from IIT Kharagpur and am the inventor of US Patent (Number: 6,609,084, Issue Date: August 19, 2003).
I am an Entrepreneur, Inventor, Author, Trainer, Manager and Architect.
In my professional experience of 24+ years, I had managed, architected, designed, developed, and deployed solutions/products in ePayments, Digital Signage, Rich Media Management, and other domains. I had extensively used many of the architectural patterns, design patterns and principles to create extensible, scalable and reusable solutions. I had also successfully imparted the knowledge and experience to many professionals through many training and workshops.
Tags
cloud
azure
keras
machine learning
deep learning
azure functions
functions
introduction
cloud computing
serverless
gab2018
ubuntu
microsoft
cntk
artificial intelligence
mnist
ai
Mehr anzeigen