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Murugan L Reddi

from Brooklyn, NY
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Also known as:
Reddi Murugan
Connected to:
Mauro Reddi, 88Tresa Reddi, 83Usha R Reddi, 48Ushah K Reddi, 41Vinay R Reddi, 47Donnell Reddic, 55Emmanuel Reddic, 37Jessie B Reddic, 107Marquell Reddic, 29Rena J Reddic, 55

Murugan Reddi Phones & Addresses

  • Brooklyn, NY
  • New York, NY

Work

Company: J.p. morgan Apr 2013 Position: Architect lead and development manager

Education

Degree: Bachelors, Bachelor of Arts School / High School: London Metropolitan University 2003 to 2006 Specialities: Marketing, Business

Skills

Spring • Java • Jms • Sql • Hibernate • Unix Shell Scripting • Oracle • Java Enterprise Edition • Xml • Sdlc • Uml • Junit • Maven • Tomcat • Eclipse • Jdbc • Design Patterns • Bash • Angularjs • Semantic Web • Semantic Technologies

Industries

Investment Banking

Resumes

Resumes

Murugan Reddi Photo 1

Architect Lead And Development Manager

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Location:
New York, NY
Industry:
Investment Banking
Work:
J.p. Morgan
Architect Lead and Development Manager
J.p. Morgan Sep 2011 - Mar 2013
Software Engineer
Hsbc Mar 2008 - Sep 2011
Development Specialist
Fdm Group Mar 2008 - Mar 2010
It Consultant
Fdm Group Aug 2007 - Mar 2008
Trainee Developer
Education:
London Metropolitan University 2003 - 2006
Bachelors, Bachelor of Arts, Marketing, Business
Skills:
Spring
Java
Jms
Sql
Hibernate
Unix Shell Scripting
Oracle
Java Enterprise Edition
Xml
Sdlc
Uml
Junit
Maven
Tomcat
Eclipse
Jdbc
Design Patterns
Bash
Angularjs
Semantic Web
Semantic Technologies

Publications

Us Patents

Methods For Performing A Search And Devices Thereof

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US Patent:
20190147109, May 16, 2019
Filed:
Nov 14, 2018
Appl. No.:
16/190827
Inventors:
- New York NY, US
Murugan REDDI - New York NY, US
Steven GRILL - Fair Lawn NJ, US
Malcolm WEST - New York NY, US
Gavin RAMSEY - Teddington, GB
Assignee:
JPMorgan Chase Bank, N.A. - New York NY
International Classification:
G06F 17/30
G06N 5/02
Abstract:
Methods, non-transitory machine readable media, and search engine devices are disclosed that annotate documents based on concepts and a generated composite score for each of the concepts. The concepts have an association with terms included in the documents. A query that includes at least one of the terms is received, and an associated concept and at least one additional related concept are identified in order to expand the query. The identified concepts are then applied to the annotated documents to generate a search result in response to the expanded query. This technology advantageously facilitates improved automated searching (e.g., across dialects and languages) and enables improved search result faceting.
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Murugan L Reddi from Brooklyn, NY Get Report