Search

Ravindra Surya Lanka

from San Jose, CA
Age ~47
Get Report
Also known as:
Ravindra S Lanka
Phone and address:
772 S Clover Ave, San Jose, CA 95128
Related to:
Sasi Srinivas Vakkalanka, 37Sarvani S Vakkalanka, 46
Connected to:
Amos J Lanka, 42Chandana Lanka, 39Divya Lanka, 34Karl M Lanka, 57Naveen Lanka, 37Saumya Lanka, 46Sharadha R Lanka, 64Soujanya Lanka, 41Udaya S Lanka, 65Venkat Lanka, 39

Ravindra Lanka Phones & Addresses

  • 772 S Clover Ave, San Jose, CA 95128
  • Cupertino, CA
  • Issaquah, WA
  • 17751 90Th St, Redmond, WA 98052
  • 7435 159Th Ave, Redmond, WA 98052
  • Salt Lake City, UT

Work

Position: Staff software engineer

Skills

Algorithms • C++ • Device Drivers • Multithreading • Software Engineering • Distributed Systems • Computer Science • Perl • Software Design • C • Object Oriented Design • Java • Software Development • Debugging

Industries

Computer Software

Resumes

Resumes

Ravindra Lanka Photo 1

Staff Software Engineer

View page
Location:
772 south Clover Ave, San Jose, CA 95128
Industry:
Computer Software
Work:

Staff Software Engineer
Skills:
Algorithms
C++
Device Drivers
Multithreading
Software Engineering
Distributed Systems
Computer Science
Perl
Software Design
C
Object Oriented Design
Java
Software Development
Debugging

Publications

Us Patents

Data Indexing And Searching Using Permutation Indexes

View page
US Patent:
20190392058, Dec 26, 2019
Filed:
Jun 25, 2018
Appl. No.:
16/016788
Inventors:
- San Jose CA, US
Mohnish Kodnani - Campbell CA, US
Alberto Ordonez Pereira - Santa Clara CA, US
Ravindra Surya Lanka - San Jose CA, US
International Classification:
G06F 17/30
Abstract:
Systems and methods are provided for creating and utilizing search indexes with different properties to provide efficient and flexible means for retrieving and ranking high-dimensional content. A first index and a second index are generated with a different sets of properties, which may include a permutation prefix length and a vector quantization scheme, and are each associated with a computational workload. Further, at least one index structure may be created with a posting list associated with a permutation prefix and a set of references, rather than only a permutation prefix, to balance out posting lists of variable lengths within the index. Another embodiment of the disclosure provides for expansion of search results at search time, rather than during indexing, by retrieving posting lists associated with shorter permutation prefix after an initial list is determined to have insufficient recall.

Computer Vision And Image Characteristic Search

View page
US Patent:
20190244271, Aug 8, 2019
Filed:
Apr 18, 2019
Appl. No.:
16/388473
Inventors:
- San Jose CA, US
Timothy Samuel Keefer - San Jose CA, US
Kenneth Clark Crookston - Freiberg, DE
Ashmeet Singh Rekhi - Campbell CA, US
Niaz Ahamed Khaja Nazimudeen - Fremont CA, US
Padmapriya Gudipati - San Jose CA, US
Shane Lin - Mountain View CA, US
John F. Weigel - San Jose CA, US
Fujun Zhong - Saratoga CA, US
Suchitra Ramesh - San Jose CA, US
Mohammadhadi Kiapour - San Francisco CA, US
Shuai Zheng - Berkeley CA, US
Alberto Ordonez Pereira - Santa Clara CA, US
Ravindra Surya Lanka - San Jose CA, US
Md Atiq ul Islam - San Jose CA, US
Nicholas Anthony Whyte - San Jose CA, US
Giridharan Iyengar - San Jose CA, US
Bryan Allen Plummer - Urbana IL, US
Assignee:
eBay Inc. - San Jose CA
International Classification:
G06Q 30/06
G06K 9/62
Abstract:
Computer vision and image characteristic search is described. The described system leverages visual search techniques by determining visual characteristics of objects depicted in images and comparing the determined characteristics to visual characteristics of other images, e.g., to identify similar visual characteristics in the other images. In some aspects, the described system performs searches that leverage a digital image as part of a search query to locate digital content of interest. In some aspects, the described system surfaces multiple user interface instrumentalities that include images of patterns, textures, or materials and that are selectable to initiate a visual search of digital content having a similar pattern, texture, or material. The described aspects also include pattern-based authentication in which the system determines authenticity of an item in an image based on a similarity of its visual characteristics to visual characteristics of known authentic items.

Computer Vision For Unsuccessful Queries And Iterative Search

View page
US Patent:
20190205333, Jul 4, 2019
Filed:
Dec 28, 2018
Appl. No.:
16/235290
Inventors:
- San Jose CA, US
Timothy Samuel Keefer - San Jose CA, US
Ashmeet Singh Rekhi - Campbell CA, US
Padmapriya Gudipati - San Jose CA, US
Mohammadhadi Kiapour - San Francisco CA, US
Shuai Zheng - Berkeley CA, US
Alberto Ordonez Pereira - Santa Clara CA, US
Ravindra Surya Lanka - San Jose CA, US
Md Atiq ul Islam - San Jose CA, US
Nicholas Anthony Whyte - San Jose CA, US
Giridharan Iyengar - San Jose CA, US
Bryan Allen Plummer - Urbana IL, US
Assignee:
eBay Inc. - San Jose CA
International Classification:
G06F 16/532
G06K 9/66
G06F 16/538
G06F 16/9535
Abstract:
Computer vision for unsuccessful queries and iterative search is described. The described system leverages visual search techniques by determining visual characteristics of objects depicted in images and describing them, e.g., using feature vectors. In some aspects, these visual characteristics are determined for search queries that are identified as not being successful. Aggregated information describing visual characteristics of images of unsuccessful search queries is used to determine common visual characteristics and objects depicted in those images. This information can be used to inform other users about unmet needs of searching users. In some aspects, these visual characteristics are used in connection with iterative image searches where users select an initial query image and then the search results are iteratively refined. Unlike conventional techniques, the described system iteratively refines the returned search results using an embedding space learned from binary attribute labels describing images.

Computer Vision And Image Characteristic Search

View page
US Patent:
20190205962, Jul 4, 2019
Filed:
Dec 28, 2018
Appl. No.:
16/235140
Inventors:
- San Jose CA, US
Timothy Samuel Keefer - San Jose CA, US
Kenneth Clark Crookston - Freiberg, DE
Ashmeet Singh Rekhi - Campbell CA, US
Niaz Ahamed Khaja Nazimudeen - Fremont CA, US
Padmapriya Gudipati - San Jose CA, US
Shane Lin - Mountain View CA, US
John F. Weigel - San Jose CA, US
Fujun Zhong - Saratoga CA, US
Suchitra Ramesh - San Jose CA, US
Mohammadhadi Kiapour - San Francisco CA, US
Shuai Zheng - Berkeley CA, US
Alberto Ordonez Pereira - Santa Clara CA, US
Ravindra Surya Lanka - San Jose CA, US
Md Atiq ul Islam - San Jose CA, US
Nicholas Anthony Whyte - San Jose CA, US
Giridharan Iyengar - San Jose CA, US
Bryan Allen Plummer - Urbana IL, US
Assignee:
eBay Inc. - San Jose CA
International Classification:
G06Q 30/06
G06K 9/62
Abstract:
Computer vision and image characteristic search is described. The described system leverages visual search techniques by determining visual characteristics of objects depicted in images and comparing the determined characteristics to visual characteristics of other images, e.g., to identify similar visual characteristics in the other images. In some aspects, the described system performs searches that leverage a digital image as part of a search query to locate digital content of interest. In some aspects, the described system surfaces multiple user interface instrumentalities that include images of patterns, textures, or materials and that are selectable to initiate a visual search of digital content having a similar pattern, texture, or material. The described aspects also include pattern-based authentication in which the system determines authenticity of an item in an image based on a similarity of its visual characteristics to visual characteristics of known authentic items.
Control profile
Ravindra Surya Lanka from San Jose, CA, age ~47 Get Report