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Jagadish B Nallapaneni

from San Jose, CA
Age ~60

Jagadish Nallapaneni Phones & Addresses

  • 3250 Esperanza Ct, San Jose, CA 95135 (408) 270-7639
  • Foster City, CA
  • Milpitas, CA
  • Atlanta, GA
  • Santa Clara, CA

Work

Company: Ebay Mar 2012 Position: Principal member of technical staff

Skills

Search Engine Technology • Search • Distributed Systems • Scalability • High Performance Computing • Algorithms • C++ • Agile • Agile Methodologies • Mapreduce • Software Development • Start Ups • Git • Hadoop • Machine Learning • Soa • Java • Python • Software Design • Information Retrieval • Object Oriented Design • Big Data • Rest • Software Engineering • Data Mining • Product Management • Java Enterprise Edition • System Architecture • Perl • Design Patterns • Mobile Applications • Multithreading • Web Applications • Technical Staff Management

Languages

English • Telugu

Interests

Kids • Cooking • Exercise • Investing • Traveling • Nascar • Sweepstakes • Home Improvement • Electronics • Reading • Gourmet Cooking • Sports • Travel • Collecting • Home Decoration

Industries

Computer Software

Resumes

Resumes

Jagadish Nallapaneni Photo 1

Software Development Engineer

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Location:
3513 Jonathan Rachelle Ct, San Jose, CA 95148
Industry:
Computer Software
Work:
eBay since Mar 2012
Principal Member of Technical Staff
Skills:
Search Engine Technology
Search
Distributed Systems
Scalability
High Performance Computing
Algorithms
C++
Agile
Agile Methodologies
Mapreduce
Software Development
Start Ups
Git
Hadoop
Machine Learning
Soa
Java
Python
Software Design
Information Retrieval
Object Oriented Design
Big Data
Rest
Software Engineering
Data Mining
Product Management
Java Enterprise Edition
System Architecture
Perl
Design Patterns
Mobile Applications
Multithreading
Web Applications
Technical Staff Management
Interests:
Kids
Cooking
Exercise
Investing
Traveling
Nascar
Sweepstakes
Home Improvement
Electronics
Reading
Gourmet Cooking
Sports
Travel
Collecting
Home Decoration
Languages:
English
Telugu

Publications

Us Patents

Systems And Methods To Build And Utilize A Search Infrastructure

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US Patent:
20140032566, Jan 30, 2014
Filed:
Dec 28, 2012
Appl. No.:
13/730536
Inventors:
Swati Agarwal - Sunnyvale CA, US
Richard D. Henderson - San Jose CA, US
Davide Libenzi - San Jose CA, US
Jagadish Nallapaneni - San Jose CA, US
Pradeep Sankaranthi - Fremont CA, US
Nicholas Whyte - San Jose CA, US
Thomas Pan - Mountain View CA, US
Carson Hoffacker - Mountain View CA, US
Amit Basu - San Jose CA, US
He Gang - San Jose CA, US
Mel Sun - San Jose CA, US
Andrew Melnick - Los Gatos CA, US
Assignee:
eBay Inc. - San Jose CA
International Classification:
G06F 17/30
US Classification:
707741
Abstract:
Methods and systems to build and utilize a search infrastructure are described. The system generates index information components in real-time based on a database that is time-stamped. The system updates index information at a plurality of query node servers based on the index information components. A query engine receives a search query from a client machine and identifies search results based on the query and the index information. The system communicates the search results, over the network, to the client machine.

System And Methods To Configure A Profile To Rank Search Results

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US Patent:
20140032517, Jan 30, 2014
Filed:
Apr 1, 2013
Appl. No.:
13/854801
Inventors:
Richard D. Henderson - San Jose CA, US
Anand Lakshminath - Fremont CA, US
Davide Libenzi - San Jose CA, US
Jagadish Nallapaneni - San Jose CA, US
Pradeep Sankaranthi - Fremont CA, US
Hal Schectman - Palo Alto CA, US
Guanglei Song - San Jose CA, US
Prasad Sriram - Manchester CT, US
Nicholas Whyte - San Jose CA, US
Thomas Pan - Mountain View CA, US
Carson Hoffacker - Mountain View CA, US
Swati Agarwal - Sunnyvale CA, US
Amit Basu - San Jose CA, US
Assignee:
eBay Inc. - San Jose CA
International Classification:
G06F 17/30
US Classification:
707706
Abstract:
A method and system to configure a profile to rank search results are provided. A profile that includes behavior information organized as a plurality of components is generated. Additional behavior information is received from a user. At least one component of the plurality of components is updated using the additional behavior information received from the user. A search query is received and search results are generated based on the search query. Search results are ranked based on the updated profile.

Systems And Methods To Build And Utilize A Search Infrastructure

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US Patent:
20170242911, Aug 24, 2017
Filed:
Mar 27, 2017
Appl. No.:
15/470565
Inventors:
- San Jose CA, US
Richard D. Henderson - San Jose CA, US
Davide Libenzi - San Jose CA, US
Jagadish Nallapaneni - San Jose CA, US
Pradeep Sankaranthi - Fremont CA, US
Nicholas Whyte - San Jose CA, US
Thomas Pan - Mountain View CA, US
Carson Hoffacker - Mountain View CA, US
Amit Basu - San Jose CA, US
Gang He - Union City CA, US
Mel Sun - Sunnyvale CA, US
Andrew John Melnick - Los Gatos CA, US
International Classification:
G06F 17/30
Abstract:
Methods and systems to build and utilize a search infrastructure are described. The system generates index information components in real-time based on a database that is time-stamped. The system updates index information at a plurality of query node servers based on the index information components. A query engine receives a search query from a client machine and identifies search results based on the query and the index information. The system communicates the search results, over the network, to the client machine.

Extraction Of Snippet Descriptions Using Classification Taxonomies

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US Patent:
20160078038, Mar 17, 2016
Filed:
Sep 11, 2015
Appl. No.:
14/852391
Inventors:
Sameep Navin Solanki - San Jose CA, US
Jagadish Nallapaneni - San Jose CA, US
Tracy Holloway King - Mountain View CA, US
Naren Chittar - San Jose CA, US
International Classification:
G06F 17/30
Abstract:
Systems and methods are presented for generating snippets from document data within the document and category taxonomies. In some embodiments, the system may receive a document comprising a set of paragraphs and sentences, identify text in the document relating to a set of categories, and score the paragraphs based on a relation between the paragraph and the set of categories to produce a section score. The system determines one or more sentences for inclusion in a snippet based in part on the section score. The system generates a snippet from the sentences determined for inclusion and associates the snippet with the document.
Jagadish B Nallapaneni from San Jose, CA, age ~60 Get Report