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Adithya P Rao

from San Jose, CA
Age ~32
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Related to:
Vinay Prasad Prasad, 57Virginia BeattieDwight Stevens, 80Donald Sims, 45Madison Swayne, 30Donald Sims
Connected to:
Abishek R Rao, 33Ajith Rao, 43Bapu Rao, 105Begur N Rao, 53Carolyn M Rao, 74Cheandra G Rao, 53Chintalapudi K Rao, 85Coralia E Rao, 83Dalipardhy Rao, 75Danette Rao, 82

Adithya Rao Phones & Addresses

  • San Jose, CA
  • San Francisco, CA
  • Cupertino, CA
  • Davis, CA

Resumes

Resumes

Adithya Rao Photo 1

Business Development Intern At Cisco Systems

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Location:
San Francisco Bay Area
Industry:
Computer Networking
Adithya Rao Photo 2

Adithya Rao

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Location:
San Jose, CA
Education:
Northwestern Polytechnic University 2015 - 2016
Adithya Rao Photo 3

Adithya Rao

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Location:
San Francisco, CA
Industry:
Consumer Electronics
Work:
Magic Leap Mar 2016 - Sep 2017
Senior Software Engineer, Deep Learning
Lithium Technologies Mar 2014 - Mar 2016
Lead Research Engineer
Klout Aug 2011 - Mar 2014
Senior Software Engineer
Stanford University Sep 2009 - Aug 2011
Graduate Student, Electrical Engineering
Broadcom Jun 2010 - Sep 2010
Summer Intern
Education:
Stanford University 2009 - 2011
Master of Science, Masters, Electrical Engineering Birla Institute of Technology and Science, Pilani 2005 - 2009
Bachelor of Engineering, Bachelors, Electronics Engineering Fergusson College 2003 - 2005
Skills:
Algorithms
Machine Learning
Data Mining
Hadoop
Java
Information Retrieval
Distributed Systems
Big Data
Mapreduce
Matlab
Scalability
Git
Hive
Entrepreneurship
Scala
Computer Science
Deep Learning
Elasticsearch
Play Framework
Data Infrastructure
Interests:
Blogging
Music
Adventure Sports

Publications

Us Patents

Dynamic Information Streams In A Social Network Platform

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US Patent:
20140040377, Feb 6, 2014
Filed:
Sep 24, 2013
Appl. No.:
14/035166
Inventors:
Girish Lingappa - Sunnyvale CA, US
Alexy Khrabrov - Oakland CA, US
Jerome Banks - San Francisco CA, US
Andras Benke - Novato CA, US
Nemanja Spasojevic - San Francisco CA, US
Adithya Shricharan Rao - San Francisco CA, US
Ding Zhou - Milpitas CA, US
Assignee:
Klout, Inc. - San Francisco CA
International Classification:
H04L 29/08
US Classification:
709204
Abstract:
The techniques, methods and systems described herein facilitate the automated discovery and presentation of content created, published or otherwise made public by “experts” and key influencers on particular topics. As such, users that may be interested in particular topics but may not know who to connect with in order to receive the most pertinent information can receive highly-relevant information. Embodiments of the invention use topics of interest identified by the user and/or automatically identifies topics based on previous postings, communication, contacts, etc. Individuals, companies, organizations and other entities that have been recognized as highly influential in those topics are identified and, without explicit actions by the user, adds content generated by the influential entities to the user's content data feed.

Dynamic Information Streams In A Social Network Platform

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US Patent:
20130318156, Nov 28, 2013
Filed:
May 23, 2013
Appl. No.:
13/900878
Inventors:
Girish Lingappa - Sunnyvale CA, US
Alexy Khrabrov - Oakland CA, US
Jerome Banks - San Francisco CA, US
Andras Benke - Novato CA, US
Nemanja Spasojevic - San Francisco CA, US
Adithya Shricharan Rao Srinivasa - San Francisco CA, US
Ding Zhou - Milpitas CA, US
International Classification:
H04L 29/06
US Classification:
709203
Abstract:
The techniques, methods and systems described herein facilitate the automated discovery and presentation of content created, published or otherwise made public by “experts” and key influencers on particular topics. As such, users that may be interested in particular topics but may not know who to connect with in order to receive the most pertinent information can receive highly-relevant information. Embodiments of the invention use topics of interest identified by the user and/or automatically identifies topics based on previous postings, communication, contacts, etc. Individuals, companies, organizations and other entities that have been recognized as highly influential in those topics are identified and, without explicit actions by the user, adds content generated by the influential entities to the user's content data feed.

Domain Generic Large Scale Topic Expertise And Interest Mining Across Multiple Online Social Networks

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US Patent:
20160203523, Jul 14, 2016
Filed:
Feb 20, 2015
Appl. No.:
14/627151
Inventors:
- San Francisco CA, US
Yize Li - San Francisco CA, US
Adithya Shricharan Rao Srinivasa - San Francisco CA, US
Ding Zhou - Milpitas CA, US
Joseph Fernandez - San Francisco CA, US
Prantik Bhattacharyya - San Francisco CA, US
International Classification:
G06Q 30/02
G06F 17/30
Abstract:
The system relates to a system and apparatus for a scalable engineering system deployed in production that mines topical interests from multiple social networks and assigns over tens of thousands of topics to hundreds of millions of users on a daily basis. The system extracts and analyzes features for topic inference that extend beyond authored text. The system uses a diverse set of features and cross network information can lead to a better understanding of a user's interests. This system focuses on assigning topics for a user that other users can socially recognize and acknowledge.
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Adithya P Rao from San Jose, CA, age ~32 Get Report