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Srinivas V Chitiveli

from New Albany, OH
Age ~51

Srinivas Chitiveli Phones & Addresses

  • 4712 Albany Park Dr, New Albany, OH 43054
  • Columbus, OH
  • Germantown, MD
  • Hillsboro, OR
  • 17100 Downing St, Gaithersburg, MD 20877 (301) 963-9441
  • 17100 Downing St APT 102, Gaithersburg, MD 20877 (301) 963-9441

Work

Company: Ibm Jul 2017 Position: Product manager ai vision on ibm power systems

Education

School / High School: P.g. College of Law, Basheerbagh 1991 to 1995

Skills

Natural Language Processing • Content Analytics • Uima Based Annotators • Enterprise Content Management • Content Strategy • Web Content • Content Marketing • Content Filtering • Machine Learning • Big Data • Hadoop • Cognos Bi • Business Insights • Business Development • Insurance Fraud • Fraud Detection • Fraud Claims • Automotive • Banking Analytics • Intelligence Analysis • Crime Prevention • Health Care Fraud • Healthcare Information Technology • Emr Analytics • Enterprise Software • Java Enterprise Edition • Cloud Computing • Information Retrieval • Distributed System Integration • Software Project Management • Sales Presentations • Product Management • Product Development • Agile and Waterfall Methodologies • Search • Databases • Distributed Systems • Portals • Pre Sales • Saas • Solution Architecture • Software Development • Integration • Unix • Enterprise Search • Soa • Db2 • System Architecture • Business Intelligence • Data Warehousing

Ranks

Certificate: Ibm Project Management

Emails

Industries

Information Technology And Services

Resumes

Resumes

Srinivas Chitiveli Photo 1

Product Manager Ai Vision On Ibm Power

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Location:
15 Polk Ct, North Potomac, MD 20878
Industry:
Information Technology And Services
Work:
Ibm
Product Manager Ai Vision on Ibm Power Systems

Ibm
Senior Product Manager


Product Manager Ai Vision on Ibm Power

Ibm
Senior Product Manager, Watson Iot Anlaytics Platform

Ibm
Senior Product Manager, Predictive Maintenance and Quality As Saas
Education:
P.g. College of Law, Basheerbagh 1991 - 1995
Skills:
Natural Language Processing
Content Analytics
Uima Based Annotators
Enterprise Content Management
Content Strategy
Web Content
Content Marketing
Content Filtering
Machine Learning
Big Data
Hadoop
Cognos Bi
Business Insights
Business Development
Insurance Fraud
Fraud Detection
Fraud Claims
Automotive
Banking Analytics
Intelligence Analysis
Crime Prevention
Health Care Fraud
Healthcare Information Technology
Emr Analytics
Enterprise Software
Java Enterprise Edition
Cloud Computing
Information Retrieval
Distributed System Integration
Software Project Management
Sales Presentations
Product Management
Product Development
Agile and Waterfall Methodologies
Search
Databases
Distributed Systems
Portals
Pre Sales
Saas
Solution Architecture
Software Development
Integration
Unix
Enterprise Search
Soa
Db2
System Architecture
Business Intelligence
Data Warehousing
Certifications:
Ibm Project Management
Sun Certified Web Component Developer.
Sun Certified Business Component Developer
Sun Certified Java Programmer
Executive Certificate In Management Program
Ibm
Mcintire School of Commerce - University of Virginia

Publications

Us Patents

Generating Search Results Based On User Feedback

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US Patent:
8150843, Apr 3, 2012
Filed:
Jul 2, 2009
Appl. No.:
12/497463
Inventors:
Srinivas Varma Chitiveli - Germantown MD, US
Barton Wayne Emanuel - Manassas VA, US
Alexander Wolcott Holt - New Paltz NY, US
Michael E. Moran - Ridgewood NJ, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 7/00
G06F 17/30
G06F 13/14
US Classification:
707723, 707705, 707722
Abstract:
Systems, methods and articles of manufacture are disclosed for generating search results based on user feedback. A request may be received to generate search results retrieved using a search string. The request may include user feedback for one or more selected documents of the search results. Improved search results may be generated based on the search results and the feedback for one or more selected documents of the search results. The improved search results may be output to a graphical display device.

Detecting Duplicate Documents Using Classification

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US Patent:
8180773, May 15, 2012
Filed:
May 27, 2009
Appl. No.:
12/472758
Inventors:
Srinivas V. Chitiveli - Germantown MD, US
Barton W. Emanuel - Manassas VA, US
Alexander W. Holt - New Paltz NY, US
Michael E. Moran - Ridgewood NJ, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 7/00
G06F 17/30
US Classification:
707737
Abstract:
Systems, methods and articles of manufacture are disclosed for detecting a duplicate document. A plurality of documents may be assigned to categories, each category corresponding to a collection of duplicates, or near duplicate documents. A new document may be received. The new document may be evaluated against each category to determine a similarity score between the new document and each category. The new document may be identified as a duplicate based on the similarity scores and thresholds for each category. An action may then be performed on the duplicate based on duplication rules. The thresholds and duplication rules may be customized by a user.

Identifying Training Documents For A Content Classifier

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US Patent:
8352386, Jan 8, 2013
Filed:
Jul 2, 2009
Appl. No.:
12/497467
Inventors:
Srinivas Varma Chitiveli - Germantown MD, US
Barton Wayne Emanuel - Manassas VA, US
Alexander Wolcott Holt - New Paltz NY, US
Michael E. Moran - Ridgewood NJ, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 15/18
US Classification:
706 12
Abstract:
Systems, methods and articles of manufacture are disclosed for identifying a training document for a content classifier. One or more thresholds may be defined for designating a document as a training document for a content classifier. A plurality of documents may be evaluated to compute a score for each respective document. The score may represent suitability of a document for training the content classifier with respect to a category. The score may be computed based on content of the plurality of documents, metadata of the plurality of documents, link structure of the plurality of documents, user feedback (e. g. , user supplied document tags) received for the plurality of documents, and document metrics received for the plurality of documents. Based on the computed scores, a training document may be selected. The content classifier may be trained using the selected training document.

Classification Of Electronic Messages Based On Content

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US Patent:
20100235367, Sep 16, 2010
Filed:
Mar 16, 2009
Appl. No.:
12/404716
Inventors:
Srinivas V. Chitiveli - Germantown MD, US
Barton W. Emanuel - Manassas VA, US
Alexander W. Holt - New Paltz NY, US
Michael E. Moran - Ridgewood NJ, US
Assignee:
INTERNATIONAL BUSINESS MACHINES CORPOATION - ARMONK NY
International Classification:
G06F 17/30
G06F 7/00
US Classification:
707752, 709206, 707E17044, 707E17107, 707E17032
Abstract:
Classifying electronic mail (e-mail) based on content and predefined categories. Content of a received e-mail may be analyzed to determine one of a plurality of predefined categories into which the e-mail is classified. A relevancy score may also be calculated to indicate the strength of correlation between the e-mail and the category. A user may be allowed to sort e-mails in an e-mail box based on the category names and/or relevancy scores.

Iterative Refinement Of Search Results Based On User Feedback

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US Patent:
20120084283, Apr 5, 2012
Filed:
Sep 30, 2010
Appl. No.:
12/895728
Inventors:
Srinivas V. Chitiveli - Germantown MD, US
Joshua Fox - Emek Haela, IL
Josemina M. Magdalen - Jerusalem, IL
Michael Pelts - Jerusalem, IL
Assignee:
INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY
International Classification:
G06F 17/30
US Classification:
707728, 707E17014, 707E17082
Abstract:
Provided are techniques for displaying search results in a first page, receiving feedback from the user that indicate which of the search results in the first page are at least one of relevant and irrelevant, re-ordering the search results in a second page based on the indications of the search results in the first page, and displaying the re-ordered search results in the second page.

Iterative Refinement Of Search Results Based On User Feedback

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US Patent:
20120203770, Aug 9, 2012
Filed:
Apr 18, 2012
Appl. No.:
13/450362
Inventors:
Srinivas V. Chitiveli - Germantown MD, US
Joshua Fox - Emek Haela, IL
Josemina M. Magdalen - Jerusalem, IL
Michael Pelts - Jerusalem, IL
Assignee:
INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY
International Classification:
G06F 17/30
US Classification:
707722, 707E17014
Abstract:
Provided are techniques for displaying search results in a first page, receiving feedback from the user that indicate which of the search results in the first page are at least one of relevant and irrelevant, re-ordering the search results in a second page based on the indications of the search results in the first page, and displaying the re-ordered search results in the second page.
Srinivas V Chitiveli from New Albany, OH, age ~51 Get Report