Career records & work history
Medicine Doctors
Raghavendra Gopalrao Kulkarni
Specialties:
Emergency Medicine
Education:
University of California at San Francisco (1998)
Raghavendra S Kulkarni, Age 4080 Pelican Ln, Redwood City, CA 94065
Raghavendra Kulkarni Phones & Addresses
80 Pelican Ln, Redwood City, CA 94065
Phoenix, AZ
Foster City, CA
Mountain View, CA
Schaumburg, IL
Sunnyvale, CA
Los Angeles, CA
Bloomington, IL
Mentions for Raghavendra S Kulkarni
Raghavendra Kulkarni resumes & CV records
Resumes
Web Application Software Engineer At Qualys
Position:
Web Application Software Engineer at Qualys
Location:
San Francisco Bay Area
Industry:
Computer Software
Work:
Qualys
since Jul 2009
Web Application Software Engineer University of Southern California Aug 2007 - May 2009
Graduate Student ITA Software Jun 2008 - Aug 2008
Summer Intern Tata Consultancy Services Jul 2006 - Jun 2007
Assistant Systems Engineer trainee
Web Application Software Engineer University of Southern California Aug 2007 - May 2009
Graduate Student ITA Software Jun 2008 - Aug 2008
Summer Intern Tata Consultancy Services Jul 2006 - Jun 2007
Assistant Systems Engineer trainee
Education:
University of Southern California 2007 - 2009
Master of Science, Computer Science University of Mumbai 2002 - 2006
Bachelor of Engineering, Information Technology
Master of Science, Computer Science University of Mumbai 2002 - 2006
Bachelor of Engineering, Information Technology
Skills:
JavaScript, Servlets, AJAX, Unix, Linux, JSON, XML, Tomcat, PL/SQL, JDBC, SOAP, Operating Systems, Windows
Interests:
Technology, Product development, Technology Consulting, Computer Networking, Software Development
Honor & Awards:
Certificate of Client Appreciation and outstanding performance by TCS for my project work.
Raghavendra Kulkarni
Location:
San Francisco Bay Area
Industry:
Semiconductors
Senior Product Engineer At Symphony Services
Position:
Senior Product Engineer at Symphony Services
Location:
San Francisco Bay Area
Industry:
Information Technology and Services
Work:
Symphony Services
Senior Product Engineer
Senior Product Engineer
Raghavendra Kulkarni
Location:
United States
Raghavendra Kulkarni
Raghavendra Kulkarni
Publications & IP owners
Us Patents
Proximity Detection Using Sensors Based On A Programmable Multi-Array Structures
US Patent:
2014032, Oct 30, 2014
Filed:
Jan 17, 2014
Appl. No.:
14/158772
Inventors:
Raghavendra Kulkarni - Fremont CA, US
Shirish Patel - Palo Alto CA, US
Santanu Das - Monroe CT, US
Shirish Patel - Palo Alto CA, US
Santanu Das - Monroe CT, US
Assignee:
Readme Systems, Inc. - Palo Alto CA
International Classification:
G06Q 30/02
H04W 4/02
H04W 4/02
US Classification:
705 729, 705 1458, 4554561
Abstract:
Embodiments of the present disclosure is directed to the use of spatially diverse multiple antenna structures and associated radio transmitters and receivers in a sensor for accurate proximity detection. In a retail environment, a system based on a network of such (smart) sensors can accurately detect presence and location of a shopper's wireless mobile device as the shopper moves along the shopping aisles carrying the wireless mobile device (e.g. smartphone). Based on the location of the shopper and the duration of the shopper stopping in front of a product shelf in an aisle, embodiments can engage the shopper (through the wireless mobile device) in transaction-oriented interactions using the ‘sense, analyze, and connect’ capability of the various embodiments described herein. Such interactions result in increased revenue for the retailers as well as better understanding of the shopping behavior of the retail shoppers. Such understanding can be embodied in improved analytics.
Systems, Methods, And Devices For Providing A Retail Store Platform For Interacting With Shoppers In Real-Time
US Patent:
2014032, Oct 30, 2014
Filed:
Nov 5, 2013
Appl. No.:
14/072742
Inventors:
Raghavendra Kulkarni - Fremont CA, US
Shirish Patel - Palo Alto CA, US
Santanu Das - Monroe CT, US
Shirish Patel - Palo Alto CA, US
Santanu Das - Monroe CT, US
Assignee:
README SYSTEMS, INC. - Palo Alto CA
International Classification:
G06Q 30/06
H04W 8/14
H04W 8/14
US Classification:
705 261
Abstract:
Systems, methods, and devices for providing a store platform for interacting with shoppers in real time are disclosed. The platform is based on a combination of wireless-enabled sensors located strategically in retail stores and computer servers. The computer may be local, remote, or in a cloud. The sensors are used to ‘scan’ the presence of shoppers in front of products in retail aisles and the computer servers ‘analyze’ the shoppers' profile based on pre-stored and newly-sensed information. The analyzed profiles are used to ‘connect’ with shoppers in real time and push electronic incentives and product information to shoppers' mobile devices. The ‘sensed’ information, in conjunction with the pre-stored data, is also used to update the shoppers' profile and generate analytics related to shopper behavior, brand loyalty, etc.
Systems, Methods, And Devices For Providing A Retail Store Platform For Interacting With Shoppers In Real-Time
US Patent:
2014032, Oct 30, 2014
Filed:
Nov 5, 2013
Appl. No.:
14/072750
Inventors:
Raghavendra Kulkarni - Fremont CA, US
Shirish Patel - Palo Alto CA, US
Santanu Das - Monroe CT, US
Shirish Patel - Palo Alto CA, US
Santanu Das - Monroe CT, US
Assignee:
README SYSTEMS, INC. - Palo Alto CA
International Classification:
G06Q 30/06
H04W 8/14
H04W 8/14
US Classification:
705 261
Abstract:
Systems, methods, and devices for providing a store platform for interacting with shoppers in real time are disclosed. The platform is based on a combination of wireless-enabled sensors located strategically in retail stores and computer servers. The computer may be local, remote, or in a cloud. The sensors are used to ‘scan’ the presence of shoppers in front of products in retail aisles and the computer servers ‘analyze’ the shoppers' profile based on pre-stored and newly-sensed information. The analyzed profiles are used to ‘connect’ with shoppers in real time and push electronic incentives and product information to shoppers' mobile devices. The ‘sensed’ information, in conjunction with the pre-stored data, is also used to update the shoppers' profile and generate analytics related to shopper behavior, brand loyalty, etc.
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